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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 : Journal of Computer Scine and Information Technology

 1 
Analysis and Application of the Certainty Factor Method in the Diagnostic Expert System for Broiler Chicken Diseases Ragil Ardiansyah; Yuhandri; Silfia Andini
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.65

Abstract

An expert system is a system that uses human knowledge recorded in a computer to solve problems that normally require human expertise. Certainty Factor is a clinical parameter value given by MYCIN to indicate the level of trust. The certainty factor is also a way of combining belief and disbelief in a single number. Certainty factor introduces the concepts of belief/belief and disbelief/unbelief. In the system analysis stage, the author analyzes to find weaknesses in the system that is currently running in an organization or company with the aim that the system can be proposed for improvement. Implementing the program that has been designed requires a tool in the form of a computer or laptop, which requires three supporting components to operate the computer or laptop itself, such as hardware, software, and brainware. The expert system application has been running with the Certainty Factor method and to make a diagnosis on chickens the user can choose a value according to the Certainty Factor Interpretation that has been given and processed with the CF expert. Based on the tests carried out, the value of system accuracy with experts is almost the same . And the Inference engine works well, according to the pre-programmed rules. After diagnosing a chicken disease, the system will display how to treat and handle sick broiler chickens
Decision Support System for PKH Assistance Recipients Promethee Method Alifcha Ghazian; Yuhandri; Muhammad Ikhlas
Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i4.85

Abstract

The Family Hope Program (PKH) is a program providing conditional social assistance to Beneficiary Families (KPM) who are designated as PKH beneficiary families. With the current development of information technology, decision making can be assisted by using computers equipped with application programs to support the production of the required quality decisions. In selecting families who receive assistance from the Family Hope Program (PKH) using the Decision Support System using the Promethee method. Promethee is a method of determining the order (priority) in multi-criteria analysis, the result of this method is a ranking of alternatives based on the selected criteria. The decision support system application using the Promethee method can determine which disadvantaged families will receive PKH assistance with faster, more accurate and fair calculations and considerations. The results of research using this method using 5 alternatives, there are 3 alternatives with accepted status and 2 alternatives that are rejected. The accepted alternatives were Tiah, Mansyah and Mus Muliadi. Meanwhile, the alternatives that were rejected were Irmansyah and Ainun. By obtaining calculation results from a decision support system using the Promethee method, it can help and make it easier for sub-districts to determine recipients of the Family Hope Program (PKH) for underprivileged families.
Measurement of Health Information Systems Using the McCall Method Dzaki Al Fikri; Yuhandri; Mardison
Journal of Computer Scine and Information Technology Volume 10 Issue 1 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i1.97

Abstract

In an era of technology that continues to develop rapidly, structured and detailed data management is becoming increasingly important. This allows decision makers at the Clinic to easily monitor, evaluate and plan business strategies. The information system measurement application on Klink Mitra Sadona is used to analyze the quality of the electronic registration information service system for patients. This registration system can help patients make it easier to register at the clinic. Based on this, the quality of the health information system will be measured because in this system the level of system quality is not yet known, so as to identify the accuracy, completeness and quality of the software at the clinic. The measurement method in this research uses the McCall Method. The McCall method is a method used to assess the quality of a system. The results of research based on the McCall Method show that the quality of information system measurements is very good with a percentage value of 94%, with the best indicator value, namely efficiency with a result of 72% and the integrity indicator value is the worst indicator with a result of 52%.
Application of the FP-Growth Algorithm in Consumer Purchasing Pattern Analysis Indah Dwi Putri; Yuhandri; Romi Hardianto
Journal of Computer Scine and Information Technology Volume 10 Issue 2 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i2.99

Abstract

Technology is currently used in various ways, one of which is businesses engaged in selling daily products. The right marketing strategy makes knowledge of consumer shopping patterns important to study because consumers are the main actors in carrying out transactions. The more diverse the types of goods sold in a company, the more diverse the resulting consumer spending patterns will be. Data mining is an analysis process that is carried out automatically on complex and large amounts of data to obtain patterns or trends that are generally not realized. The FP-Growth algorithm is an alternative algorithm that can be used to determine the data set that appears most frequently (frequent itemset) in a data set. The method used in this research is the FP-Growth method which is implemented in the PHP programming language and MySQL as the database. Designing a data mining program using the FP-Growth method can analyze and manage consumer purchasing patterns based on goods purchased simultaneously. The data processed in this research is transaction data that has been processed into information so as to gain knowledge in calculating stock of goods sourced from the owner of Toko Asra. From testing this method, results were obtained from the 10 transactions in December 2021, by limiting the minimum support value to 0.2 and minimum confidence to 0.75, 33 patterns of consumer shopping habits were obtained, meaning that 33 products were most frequently purchased by consumers. Designing a data mining program using the FP-Growth method can help analyze consumer purchasing patterns based on items purchased simultaneously. The results of frequent itemset calculations can help find a sequence of combinations that can be used as product recommendations in business decision
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 Dzaki Al Fikri 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 Indah Dwi Putri 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 Mardison 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 Romi Hardianto 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