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All Journal TEPIAN
Suci Ramadhani
Software Engineering Technology, Agricultural Polytechnic of Samarinda
Computer Science & IT

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Geographic Information System Clinic of Health Services In Samarinda City Web-Based Erna Mulyati; Suci Ramadhani; Syafei Karim
TEPIAN Vol 1 No 4 (2020): December 2020
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v1i4.205

Abstract

Difficulties in finding clinics within a certain area often occur everywhere, so a number of clinics cannot meet the needs of the surrounding community. A health service clinic is a place of practice that is more than one general practitioner or specialist who works in health services. The purpose of this study is to create a web-based Geographic Information System (WebGis) regarding the distribution of clinics, especially in Samarinda City. The benefits of WebGis can present the location and information about the clinic. The search field can also search for information based on the expertise of doctors, in the form of general practitioners or specialists.
Decision Support System for Selection of Superior Crystal Guava Seeds with SMART Method Yuliyana; Muslimin B; Suci Ramadhani
TEPIAN Vol 3 No 3 (2022): September 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.46 KB) | DOI: 10.51967/tepian.v3i3.890

Abstract

Crystal guava is one of the horticultural plants that play a role in meeting food needs, the horticultural sector is also able to contribute to domestic income. The purpose of this study was to produce a Decision Support System for the Selection of Crystal Guava. By using the PHP programming language and the database using MySQL and using the waterfall model for system development and Unified Modeling Language (UML) for system design. In this study, the data collection techniques used were literature study, observation and interviews. The result of this research is a decision support system is made to determine the proper selection of Crystal Guava Seeds. Users can input alternative data, view criteria data. Then the system will find a solution using the SMART method. After the decision is obtained, the system will display the final result of the calculation.
Decision Support System for Selection of Superior Crystal Guava Seeds with SMART Method Yuliyana; Muslimin B; Suci Ramadhani
TEPIAN Vol. 3 No. 3 (2022): September 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i3.890

Abstract

Crystal guava is one of the horticultural plants that play a role in meeting food needs, the horticultural sector is also able to contribute to domestic income. The purpose of this study was to produce a Decision Support System for the Selection of Crystal Guava. By using the PHP programming language and the database using MySQL and using the waterfall model for system development and Unified Modeling Language (UML) for system design. In this study, the data collection techniques used were literature study, observation and interviews. The result of this research is a decision support system is made to determine the proper selection of Crystal Guava Seeds. Users can input alternative data, view criteria data. Then the system will find a solution using the SMART method. After the decision is obtained, the system will display the final result of the calculation.
Co-Authors Erna Mulyati Karim, Syafei Muhammad Yusron Maulana El-Yunusi Muslimin B, Muslimin Yuliyana