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Implementasi Metode Fuzzy Logic Untuk Aplikasi Diagnosa Penyakit Pencernaan Manusia Kurniawan, Harry; Gustientiedina; Desnelita, Yenny; Gusrianty
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3035

Abstract

The digestive system in humans is one of the vital organs of the body so that the health of the digestive system is very important to maintain. As a result, disseminating information regarding the diagnosis of human digestive disorders is critical in order to determine the sorts of diseases encountered by patients early on. The goal of this study is to design an application that uses an expert system and fuzzy logic to diagnose human digestive illnesses. This expert system can assist in the diagnosis of human digestive disorders and assist doctors in the diagnosis of human digestive diseases in patients. This expert system application uses the System Development Life Cycle (SDLC) for system development and uses the fuzzy logic approach to determine the severity of human digestive illnesses. Whereas, the Forward Chaining method is used for the tracing process that starts from the symptoms of the disease to produce answers to the types of human digestive diseases in the expert system. This research produces an expert system for diagnosing human digestive diseases based on the symptoms found using the fuzzy logic method.
Penerapan Algoritma K-Means Untuk Clustering Data Obat-Obatan Pada RSUD Pekanbaru Gustientiedina, Gustientiedina; Adiya, M. Hasmil; Desnelita, Yenny
Jurnal Nasional Teknologi dan Sistem Informasi Vol 5 No 1 (2019): April 2019
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v5i1.2019.17-24

Abstract

Perencanaan dari kebutuhan obat-obatan yang tepat dapat membuat pengadaan obat-obatan menjadi efektif dan efisien sehinggaobat-obatan dapat tersedia dengan cukup sesuai dengan kebutuhan serta dapat diperoleh pada saat yang diperlukan. Menganalisa pemakaian obat, perencanaan dan pengendalian obat-obatan dapat dilakukan pada data miningyaitu dengan clusterisasi.Metode yang akan di pakai untuk clustering data obat-obatan adalah algoritma K-Means yang mana merupakan metode clustering dengan non hirarki yang mempartisi data – data  kedalam cluster dimana data – datadengan karakteristik sama akan dikelompokkan padasatu cluster dan data – data dengan karakteristik yang berbeda akan dikelompokkan padacluster lainnya.Tujuan penelitian ini yaitumengelompokkan data obat-obatan pada rumah sakitsehingga dapat digunakan dalam acuan pengambilan keputusan perencanaan dan pengendaliaan persediaan obat-obatan di rumah sakit.
Perancangan Software Bimbingan dan Pengembangan Karir Siswa dalam Pengambilan Keputusan dan Konsultasi Irwan, Irwan; Gustientiedina, Gustientiedina; Sunarti, Sunarti; Desnelita, Yenny
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 4 No 4: Desember 2017
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (417.379 KB) | DOI: 10.25126/jtiik.201744464

Abstract

AbstrakTujuan dari penelitian ini mengemukakan pengembangan model sebuah perangkat lunak konseling siswa untuk melengkapi sebuah media sistem konsultasi bimbingan karir siswa. Perancangan software ini untuk mengkaji diri, mengenal diri sendiri, minat, bakat, kemampuan, pemilihan, penyesuaian sehingga siswa berupaya untuk mempersiapkan diri dengan meningkatkan kemampuan spiritual, pendidikan dan pelatihan, ketrampilan intelektual, ketrampilan berkomunikasi dan inter atau intra personal skill demi kehidupan di masa depan yang berupa alat penelusuran minat bakat berupa bimbingan dan pengembangan karir siswa. Penerapan metode certainty factor dapat merealisasikan jumlah kepercayaan dalam keputusan karir yang diambil dimana faktor kepastian dapat digunakan dengan berbagai kondisi. Dalam penelitian ini harus mengumpulkan nilai certainty factor keseluruhan kondisi yang ada. Penggunaan metode Certainty Factor (CF) dapat menunjukan tingkat kebenaran, keakuratan dari kemungkinan dalam pemilihan karir. Perancangan software bimbingan dan pengembangan karir dapat membantu konselor dalam  pemilihan karir yang diminati dengan terlebih dahulu menjawab pertanyaan pada user interface software.Kata kunci: Model Software, Certainty Factor,  Bimbingan, Pengembangan Karir, Pengambilan Keputusan AbstractThe purpose of this study suggests the development of a model student counseling software to complement a media student career guidance consulting system. The design of this software to assess themselves, know themselves, interests, talents, abilities, selection, adjustment so that students try to prepare themselves by improving spiritual skills, education and training, intellectual skills, communication skills and inter or intra personal skill for life in front in the form of talent interest search tools in the form of guidance and career development of students. The application of the certainty factor method can realize the amount of confidence in the career decision taken where the certainty factor can be used under various conditions. In this research must collect the value of certainty factor overall condition. The use of the Certainty Factor (CF) method can show the degree of truth, the accuracy of the possibilities in career selection. The design of software guidance and career development can help counselors in the selection of careers in interest by first answering questions on the user interface software.Keywords: Application Model, Conseling, Career Development, Decision Maker, Certainty Factor
Software Konsultasi Seleksi Karir Siswa menggunakan Metode Certainy Factor Irwan, Irwan; Gustientiedina, Gustientiedina; Hajjah, Alyauma; Desnelita, Yenny; Susanti, Wilda
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 1: Februari 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.0811093

Abstract

Model software konsultasi seleksi karir sebagai alternatif  pengambilan keputusan dimana  konsultasi meliputi pemahaman karir, perencanaan karir, alternatif pilihan karir yang berupa alat penelusuran minat dan bakat siswa terhadap keputusan karir siswa menggunakan metode certainty factor berbasis sistem pakar. Penelitian ini menghasilkan model software konseling dalam memperoleh informasi penting tentang pengembangan karir siswa dan membantu memfasilitasi perkembangan individu siswa melalui bentuk layanan agar mampu merencanakan karirnya berdasarkan jurusan, minat, bakat, pengetahuan, kepribadian, kompetensi dan faktor-faktor lain yang mendukung kemajuan dirinya dalam menentukan pilihan dan keputusan yang sesuai dengan dunia kerja pilihan siswa.Sistem diuji menggunakanwhite box dan black boxdengan menunjukan hasil dimana sistem dapat digunakan sesuai kebutuhan. AbstractCareer selection consulting software model as an alternative decision making where consultation that includes career understanding,career understanding, career planning, alternative career choices in the form of a tool to trace students' interests and talents towards student career decisions using expert system based certainty factor method. This research produces a counseling software model in obtaining important information about student career development and helps facilitate individual students development  through a form of service in order to be able to plan his career based on majors, interests, talents, knowledge, personality, competencies and other factors that support his progress in determining choices and decisions that are appropriate to the world of work choice. The system is tested using white boxes and black boxes by showing the results where the system can be used as needed.
Implementasi Metode Analitycal Hierarchy Process dan Multi-Objective Optimization by Ratio Analysis Untuk Rekomendasi Laptop Darwin, Ricalvin; Irwan, Irwan; Desnelita, Yenny; Siddik, Muhammad; Gustientiedina, Gustientiedina
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.746

Abstract

Laptops have become essential in the world of work, education, and society. With a laptop, tasks such as creating reports, sending data, learning, and even entertainment become easier. However, the variety of laptops available with different specifications can confuse people when choosing one that suits their profession and status. This confusion often leads to wasted time and the risk of choosing a laptop that does not meet their needs. Therefore, a decision support system (DSS) is needed to provide laptop recommendations based on desired criteria. In this study, the method used is a collaboration of Analytical Hierarchy Process (AHP) and Multi-Objective Optimization By Ratio Analysis (MOORA). AHP is used to calculate the weight of laptop criteria according to desired criteria, while MOORA is used to rank the recommended laptop values suitable for use. The implementation of the AHP and MOORA methods in this study resulted in laptop recommendations that meet the desired criteria and specifications of the community. Based on manual calculations in this study, the top-ranked laptop recommendation is alternative A8, the HP Victus Gaming Laptop 15 with a Yi of 0.424, followed by alternative A2, the HP Pavilion Gaming 15 with a Yi of 0.382. This study is considered successful because the results of manual calculations and those of the system built are consistent. Thus, the implementation of AHP and MOORA methods in a web-based system can be used for laptop recommendations.