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All Journal Jurnal Mantik Penusa JIPN (Journal of Informatics Pelita Nusantara) Jurnal Nasional Komputasi dan Teknologi Informasi JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Sains dan Teknologi INFOKUM Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Jurnal Sistem Informasi dan Teknologi Jaringan Jurnal Teknoif Teknik Informatika Institut Teknologi Padang

Sulindawaty, Sulindawaty

STMIK Pelita Nusantara Medan

Author-ID : 2546871

Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mathematics Neuroscience Physics Social Sciences Transportation

Published : 27 Documents Claim Missing Document

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SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KUALITAS TEMPE SIAP JUAL DENGAN METODE WEIGHT PRODUCT Benyamin Sembiring; Sulindawaty
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 8 No 2 (2020): JURNAL TEKNOIF ITP
Publisher : ITP Press

Menurut SNI ini, tempe kedelai dikemas dalam kemasan yang tertutup baik, yaitu daun dan plastik. Pada UMKM Latersia Berkat Tempe ditemukan permasalahan informasi penentuan kualitas tempe sangat beragam dalam menentukan kualitas tempe umumnya menggunakan cara-cara tradisional. Dalam penelitian ini dilakukan perhitungan menerapkan SPK metode Weighted Product (WP) dalam penentuan kualitas tempe siap jual dan merancang aplikasi Sistem Pendukung Keputusan (SPK) dengan metode Weighted Product (WP) pada penentuan penentuan kualitas tempe siap jual menggunakan Visual Studio 2010. Kriteria penentuan kualitas produksi tempe, dalam penelitian ini dipengaruhi Bahan Baku (C1), Jenis Ragi (C2), Kemasan (C2), Citarasa (C4), Warna (C5), Bau Khas Tempe (C6), Tekstur (C7), Penjualan (C8). Pada aplikasi dilakukan penginputan Data Alternatif dan Data Kriteria, selanjutnya melakukan proses perhitungan dengan metode Weighted Product. Hasil perhitungan perangkingan WP ditentukan nilai tertinggi menjadi keputusan akhir dari sistem. According to this SNI, soybean tempeh is packaged in well-closed packages, namely leaves and plastic. At MSME Latersia Berkat Tempe, it was found that information problems determining the quality of tempe were very diverse in determining the quality of tempe, generally using traditional methods. In this study, the calculation was carried out by applying the SPK with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe and designing the Decision Support System (SPK) application with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe using Visual Studio 2010. Analysis of the data obtained Tempe data as alternative data is taken from general packaging, namely Tempe Wrapped in Plastic and Tempe Wrapped in Leaves. The criteria for determining the quality of tempe production, in this study are influenced by Raw Material (C1), Type of Yeast (C2), Packaging (C2), Taste (C4), Color (C5), Typical Odor of Tempe (C6), Texture (C7), Sales (C8). In the application, the Alternative Data and Criteria Data are inputted, then the calculation process is carried out using the Weighted Product method. The result of the WP ranking calculation is determined to be the highest value to be the final decision of the system.

Sistem Pakar Mendiagnosa Penyakit Tropik Infeksi Dengan Menggunakan Metode Certainty Factor (CF) Ira Tasya Mawaddah; Sulindawaty Sulindawaty
Jurnal Sains dan Teknologi Vol. 3 No. 2 (2022): Jurnal Sains Dan Teknologi
Publisher : CV. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/saintek.v3i2.211

The impact of computer technology has played a major role in changing aspects of human life, especially in the health sector where in the midst of an epidemic that hit a system that is able to reduce the impact of the crowd is needed. One of them is a system for diagnosing disease, and the disease to be studied is a type of infectious disease and a disease that is increasing in the midst of an epidemic, namely infectious tropical diseases or diseases that develop in a tropical climate. The purpose of this study is to build a web-based expert system application that is able to diagnose infectious tropical diseases using the certainty factor (CF) method, and development using the waterfall model. Tests are carried out with blackbox tests and validity tests, on blackbox tests the system runs as expected and on the validity test the system is declared valid to be used. In the user test, the calculation obtained using the CF method is 97.65% certainty level. The research concludes that the system is able to provide a confidence value and can diagnose the type of infectious tropical disease based on the symptoms selected by the user. Because the system still has limitations, it is hoped that the system will be developed using other methods so that it is more useful for users.

Analisis Sistem Pakar Dengan Metode Forward Chaining untuk Pengenalan Jenis Kulit Wajah pada Manusia Sulindawaty Sulindawaty; Hasanul Fahmi
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 5 No. 2 (2022): Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)
Publisher : Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jikomsi.v5i2.336

Wajah merupakan hal utama yang menjadi perhatian maupun daya tarik bagi sesorang dalam berpenampilan. Kulit wajah yang sehat dan bersih menjadi hal yang sangat didambakan oleh manusia. Keberagaman produk kosmetik serta praktik kecantikan menjadi salah satu yang sangat diminati untuk memberikan solusi kesehatan dan kecantikan kulit wajah. Untuk mempermudah setiap orang dalam mengenali jenis kulit wajah, dapat diterapkan sistem pakar dengan menggunakan metode forward chaining. Sistem Pakar dapat memberikan solusi dalam menganalisis jenis kulit wajah karena pada sistem ini data yang diperoleh dari para pakar secara langsusng. Forward chaining digunakan untuk menelusuri jenis kulit wajah berdasarkan penalaran atau pelacakan suatu data dari fakta-fakta yang diperoleh untuk mendapatkan kesimpulan. Dari pengujian yang dilakukan dalam penelitian ini menunjukkan nilai akurasi sebesar 83,3% yang menunjukkan hasil sesuai dengan diagnosa pakar. Hasil penelitian ini menunjukan bahwa sistem pakar dengan menerapkan metode backward chaining efektif dalam menghasilkan informasi untuk mengetahui jenis kulit wajah pada manusia sehingga dapat melakukan perawatan maupun memilih jenis kosmetik yang sesuai.

Pemanfaatan Sistem Pakar di Klinik Kecantikan D’Skin Care Untuk Pengenalan Jenis Kulit Wajah Manusia Sulindawaty Sulindawaty; Vely Dora Meliani Purba; Melisa Van Breukelen
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 1 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (738.227 KB)

SISTEM PAKAR UNTUK MENDIAGNOSA HAMA DAN PENYAKIT PADA TANAMAN KOPI ARABIKA DENGAN MENGGUNAKAN METODE CERTAINTY FACTOR Era Pelita Sinaga; Sulindawaty Sulindawaty
Jurnal Informatika Kaputama (JIK) Vol 2 No 2 (2018): Volume 2, Nomor 2, Juli 2018
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v2i2.426

Dalam penelitian ini, bertujuan untuk merancang sebuah sistem pakar untuk mendiagnosa hama dan penyakit pada tanaman kopi arabika, serta memberikan solusi untuk mencegah hama ataupun penyakit yang menyerang tanaman kopi arabika. Metode yang digunakan pada sistem pakar ini adalah metode Certainty Factor. Metode Certainty Factor dipilih karena metode ini cocok dalam proses penentuan identifikasi hama dan penyakit, dan hasil dari penerapan metode ini adalah persentase. Penentuan persentase dipengaruhi oleh nilai MB dan nilai MD yang didapat dari penilaian seorang pakar. Persentase pada konsultasi sistem pakar di ambil dari hasil tertinggi pertama, sebagai alternatif hama dan penyakit yang menyerang tanaman kopi arabika. Sistem pakar mendiagnosa hama dan penyakit tanaman kopi arabika untuk memudahkan para petani kopi jenis arabika untuk mencari informasi yang lebih detail dan akurat tentang hama dan penyakit Kopi Arabika serta solusi pencegahan nya.

Sistem Pakar Mendiagnosa Gizi Buruk Pada Balita Menggunakan Teorema Bayes Ratna Noviani; Sulindawaty Sulindawaty
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 2 (2020): OKTOBER 2020
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v3i2.2383

The development of information and communication technology is increasingly developing following the development of human civilization to date. Technological developments have also penetrated into the health sector that is able to process and think like humans, namely Artificial Intelligence technology. Artificial intelligence is divided into several fields of science, one of which is expert systems. One system that experts use is to diagnose malnutrition in toddlers. In the Expert System Utilization diagnose malnutrition in toddlers using the appropriate Bayes theorem to be applied to this problem. With this expert system, it can make it easier for the community or Pagar Merbau health center agency to make decisions through alternatives and criteria obtained from information or data managers. The accuracy value for the accuracy of manual calculations and calculations in expert systems to diagnose malnutrition in toddlers using the Bayes theorem has an accuracy of 99%. In this study, there were 5 names of malnutrition in toddlers and 25 names of malnutrition in toddlers.

Sistem Pendukung Keputusan Penentuan Kualitas Tempe Siap Jual Dengan Metode Weight Product Benyamin Sembiring; Sulindawaty Sulindawaty
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 2 (2020): OKTOBER 2020
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v3i2.2382

According to this SNI, soybean tempeh is packaged in well-closed packages, namely leaves and plastic. At MSME Latersia Berkat Tempe, it was found that information problems determining the quality of tempe were very diverse in determining the quality of tempe, generally using traditional methods. In this study, the calculation was carried out by applying the SPK with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe and designing the Decision Support System (SPK) application with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe using Visual Studio 2010. Analysis of the data obtained Tempe data as alternative data is taken from general packaging, namely Tempe Wrapped in Plastic and Tempe Wrapped in Leaves. The criteria for determining the quality of tempe production, in this study are influenced by Raw Material (C1), Type of Yeast (C2), Packaging (C2), Taste (C4), Color (C5), Typical Odor of Tempe (C6), Texture (C7), Sales (C8). In the application, the Alternative Data and Criteria Data are inputted, then the calculation process is carried out using the Weighted Product method. The result of the WP ranking calculation is determined to be the highest value to be the final decision of the system.

Co-Authors Aulia Wiranda Ayu Prihatini Benyamin Sembiring Benyamin Sembiring Bosker Sinaga Endang Sujiati Era Pelita Sinaga Erwin Panggabean Fitri Mijaswari Hasanul Fahmi Hasugian, Penda Sudarto Hengki Tamando Sihotang Ira Lina Kendayto Panjaitan Ira Tasya Mawaddah Ivan NUSANTARA siagian Jane Irma Sari Jijon Raphita Sagala Maya Lestari Melisa Van Breukelen Muhammad Zarlis Nikcolas Diaz Paujiah Nur Harahap Petti Indrayati Sijabat Ratna Noviani Sri Wahyu Ningsih Tengku Afan Adhar Vely Dora Meliani Purba Yustrida Yanti

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