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All Journal Jurnal TAM (Technology Acceptance Model) Jurnal TAM (Technology Acceptance Model)
Guna Yanti Kumala Sari Siregar Pahu
Prodi Sistem Informasi, STMIK Pringsewu, Lampung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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PERANCANGAN SISTEM PAKAR DETEKSI PERTUMBUHAN TANAMAN SEMANGKA BERBASIS WEBSITE DENGAN CERTAINTY FACTOR Tika Wulandari; Guna Yanti Kumala Sari Siregar Pahu; Dita Novita Sari
Jurnal TAM (Technology Acceptance Model) Vol 9, No 2 (2018): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (266.383 KB)

Abstract

Expert system is a computer system that resembles the ability in making decisions of an expert and is part of artificial intelligence, hence with it to detect the growth of watermelon plants not everyone can know the growth of watermelon plants without an expert. The purpose of making these systems and applications to design and build Expert System for Watermelon Plant Growth Based Detection that uses certainty factor for use by farmers and the community to know the growth of watermelon plants without having to ask directly to expert experts, which can be said that the calculation of certainty factor on the characteristics of watermelon disease has a confidence level of 99.70%, because in this case Certainty Factor commonly used for decision making in the face of uncertainty of an event. This app is designed by beginning with SDLC and use case. 
APLIKASI WEB MOBILE CALON PENERIMA JAMBAN SEHAT BAGI KELUARGA KURANG MAMPU METODE TOPSIS Guna Yanti Kumala Sari Siregar Pahu; Evi Haryani; Muhamad Muslihudin
Jurnal TAM (Technology Acceptance Model) Vol 10, No 2 (2019): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (191.391 KB)

Abstract

Decision making using multiple attribute has an advantage in determining alternative weight values. In determining to determine the condition of latrines declared healthy or unhealthy using six criteria, including: Knowledge, the number of people using latrines, Institutional Monitoring, Regulations, Cleanliness of Public Facilities, Community Behavior. In this study, to determine healthy latrines, community samples were used in Pringsewu District. The TOPSIS method is applied to determine the priority of unhealthy latrine conditions. The research aims to design a Decision Support System for the feasibility of latrines in public housing in Pringsewu District to realize Pringsewu Open Defecation Free. Testing results are combined with using web mobile to facilitate the Health Office in calculating weight values and following up on the results of calculations as an evaluation material for the service to prepare policy directives to achieve the goal of Open Defecation Free. From the Test Results the system describes the results of calculations and accurate research in accordance with the manual tests conducted. Which alternative 3 has the highest value than the other alternatives while alternative 4 has the lowest value.
APLIKASI WEB MOBILE CALON PENERIMA JAMBAN SEHAT BAGI KELUARGA KURANG MAMPU METODE TOPSIS Guna Yanti Kumala Sari Siregar Pahu; Evi Haryani; Muhamad Muslihudin
Jurnal TAM (Technology Acceptance Model) Vol 10, No 2 (2019): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v10i2.799

Abstract

Decision making using multiple attribute has an advantage in determining alternative weight values. In determining to determine the condition of latrines declared healthy or unhealthy using six criteria, including: Knowledge, the number of people using latrines, Institutional Monitoring, Regulations, Cleanliness of Public Facilities, Community Behavior. In this study, to determine healthy latrines, community samples were used in Pringsewu District. The TOPSIS method is applied to determine the priority of unhealthy latrine conditions. The research aims to design a Decision Support System for the feasibility of latrines in public housing in Pringsewu District to realize Pringsewu Open Defecation Free. Testing results are combined with using web mobile to facilitate the Health Office in calculating weight values and following up on the results of calculations as an evaluation material for the service to prepare policy directives to achieve the goal of Open Defecation Free. From the Test Results the system describes the results of calculations and accurate research in accordance with the manual tests conducted. Which alternative 3 has the highest value than the other alternatives while alternative 4 has the lowest value.
PERANCANGAN SISTEM PAKAR DETEKSI PERTUMBUHAN TANAMAN SEMANGKA BERBASIS WEBSITE DENGAN CERTAINTY FACTOR Tika Wulandari; Guna Yanti Kumala Sari Siregar Pahu; Dita Novita Sari
Jurnal TAM (Technology Acceptance Model) Vol 9, No 2 (2018): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v9i2.683

Abstract

Expert system is a computer system that resembles the ability in making decisions of an expert and is part of artificial intelligence, hence with it to detect the growth of watermelon plants not everyone can know the growth of watermelon plants without an expert. The purpose of making these systems and applications to design and build Expert System for Watermelon Plant Growth Based Detection that uses certainty factor for use by farmers and the community to know the growth of watermelon plants without having to ask directly to expert experts, which can be said that the calculation of certainty factor on the characteristics of watermelon disease has a confidence level of 99.70%, because in this case Certainty Factor commonly used for decision making in the face of uncertainty of an event. This app is designed by beginning with SDLC and use case. 
Co-Authors Dita Novita Sari Evi Haryani Muhamad Muslihudin Tika Wulandari