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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Perdana, Rika Widya
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Neuroscience Transportation

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Penerapan Algoritma Naïve Bayes Dalam Pengelompokkan Air Layak Minum Sari, Dian Permata; Buana, Wira; Meri, Rozi; Perdana, Rika Widya
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.406

Abstract

Water is a basic human need, without water humans cannot carry out activities. However, not all types of water can be consumed and are healthy for humans. So it is important to check water quality regularly. Because the influence of weather can make the water quality unfit      consumption. To determine water quality, laboratory testing is required. This test requires complex analysis results so the time used in testing is relatively longer. In data mining there are classification techniques that can be used to group drinking water samples based on several variables that have been determined from water data. The aim of this research is to classify the types of drinking water that are suitable for consumption and the characteristics of healthy water. To process the data using the Naïve Bayes algorithm and produce an accuracy value of 75%.
Penerapana Artificial Intelegence dalam Pencarian Alternatif Rute Terkecil Jalur Kota Menggunakan Metode Travelling Salesman Problem (TSP) Perdana, Rika Widya
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8331

Abstract

Abstrak – Ilmu kecerdasan buatan saat ini sangat berkembang dilihat banyak nya teknologi yang bisa digunakan dalam berbagai bidang. Searching termasuk kedalam ilmu Kecerdasan Buatan dengan menggunakan teknik pencarian heuristic yang sering digunakan dalam mencari solusi terbaik yaitu metode Travelling Salesman Problem (TSP).  Metode Travelling Salesman Problem (TSP) digunakan dalam pencarian rute terpendek dalam menemukan rute terkecil yang sering digunakan dalam kehidupan sehari hari. Tujuan penelitian yaitu mengimplementasikan pencarian heuristic dengan algoritma Travelling Salesman Problem (TSP) pada rute terpendek dalam mencari titik Kota yang akan dituju. Nilai parameter yang digunakan yaitu jarak dan waktu. Hasil akhir yang diperoleh dalam penelitian ini diperoleh sebuah system pencarian yang mampu menemukan solusi rute terpendek atau mencari alternatif dan saran yang digunakan untuk menganalisis rute yang akan pilih. Hasil akhir pencarian rute yang ditemukan dengan titik 4 Rute sebanyak 24 rute Jalur. Kota terdiri dari 4 kota 1,2,3,4, Titik kota yang mampu menghasilkan rute terpendek yaitu Kota 1342 = 100+145+160 Jumlah 405 KM dan Kota 2431= 160+145+100 = Jumlah 405 KM. Berdasarkan nilai yang diperoleh dari 24 alternatif terdapat  Dua alternatif jalur yang digunakan untuk menghemat jarak dan waktu. Sistem ini mampu menyelesaikan permasalahan sehingga menghasilkan nilai jarak tempuh yang lebih efesienKata Kunci; Generate and test;TSP; Jarak; Waktu; alternative Abstract - Artificial intelligence science is currently very developed as seen by the many technologies that can be used in various fields. Searching is included in the science of Artificial Intelligence using heuristic search techniques which are often used in finding the best solution, namely the Generate and test method. The Generate and test method and the Traveling Salesman Problem (TSP) are used to search for the shortest route to find the smallest route that is often used in daily life. The aim of the research is to implement a heuristic search with the Generate and Test algorithm on the shortest route to find the city point you want to go to. The parameter values used are distance and time. The final result obtained in this research is a system that is able to find the shortest route solution or look for alternatives and suggestions that are used to analyze the route that will be found. The final result of the route search found with point 4 Routes 1,2,3,4 is City 1342 = 100+145+160 Total 405 KM and City 2431= 160+145+100 = 405KM. Based on the values obtained from 24 alternatives, there are two alternative routes that can be used to save distance and time.Keywords; Generate and test;TSP; Distance; Time; alternative
Kepuasan Pelanggan Terhadap Produk Toko H. MANTI menggunakan Konsep Sistem Pendukung Keputusan dengan Metode Smart Perdana, Rika Widya; Meri, Rozi
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i2.3053

Abstract

The purpose of this research was to see how high customer satisfaction was with the products offered by Toko H. Manti. The sample used for research data processing is badcover sales data on sales from September 2022 to September 2023. Decision support system data processing using the SMART (Simple Multi. Attribute Rating Technique) method. The data processed is bedcover data by comparing several bedcover products, namely, raline, illusion, my love, diva linen, california, and d'luxe kintakun bedcover. Through this method, data is processed through several stages, namely determining criteria and weight values, determining weight values, normalizing weight values, and determining utility values, as well as determining the final value. By carrying out these steps, the result was that the raline bedcover got the highest weighted score with a score of 99 and the becover that got the lowest score was the illusion bedcover with a score of 53.
Sistem Penilaian Kinerja Perangkat Nagari Menggunakan SAW dengan Interface Modern dan User-Friendly Perdana, Rika Widya; Silvilestari, Silvilestari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 6 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.10160

Abstract

Abstrak - Evaluasi kinerja perangkat nagari memiliki peran yang sangat penting dalam mengukur tingkat efektivitas, produktivitas, serta kualitas kerja aparatur pemerintahan di lingkungan nagari. Akan tetapi, proses penilaian yang masih dilakukan secara manual sering menimbulkan kendala, seperti adanya unsur subjektivitas, keterlambatan dalam pengambilan keputusan, serta kurangnya transparansi dalam hasil penilaian. Berdasarkan hal tersebut, penelitian ini bertujuan untuk mengembangkan Sistem Pendukung Keputusan (SPK) yang berfungsi membantu proses penilaian kinerja perangkat nagari dengan menerapkan metode Simple Additive Weighting (SAW). Adapun kriteria yang digunakan dalam penelitian ini meliputi Disiplin Kerja, Tanggung Jawab, Pelayanan Masyarakat, Ketepatan Waktu Laporan, Kehadiran, Pelayanan, serta Kerjasama Tim. Hasil penelitian menunjukkan bahwa penerapan metode SAW pada sistem pendukung keputusan ini mampu membantu pihak pemerintahan nagari dalam melakukan penilaian kinerja dengan cara yang lebih efisien, objektif, akurat, dan transparan, sehingga dapat mendukung pengambilan keputusan yang lebih tepat dan berbasis data. Hasil perhitungan  terdapat beberapa pegawai yang memperoleh nilai tinggi Nomor 13 dengan nilai 0,97 → Peringkat 1, Nomor 11 dengan nilai 0,96 → Peringkat 2, Nomor 2 dengan nilai 0,96 → Peringkat 3 Pegawai nomor 13 ditetapkan sebagai peringkat pertama karena memiliki nilai paling tinggi di antara seluruh alternatif.Kata kunci : Sistem Pendukung Keputusan; Penilaian Kinerja; Perangkat Nagari; Metode SAW; Simple Additive Weighting; Abstract - The performance evaluation of village officials plays a crucial role in measuring the effectiveness, productivity, and quality of government officials within the village. However, the manual assessment process often presents challenges, such as subjectivity, delays in decision-making, and a lack of transparency in the assessment results. Therefore, this study aims to develop a Decision Support System (DSS) that assists in the performance assessment of village officials by applying the Simple Additive Weighting (SAW) method. The criteria used in this study include Work Discipline, Responsibility, Community Service, Timeliness of Reports, Attendance, Service, and Teamwork. The results show that the application of the SAW method to this decision support system can assist village government officials in conducting performance assessments in a more efficient, objective, accurate, and transparent manner, thereby supporting more precise and data-driven decision-making. The calculation results show several employees who obtained high scores. Number 13 with a score of 0.97 → Rank 1, Number 11 with a score of 0.96 → Rank 2, Number 2 with a score of 0.96 → Rank 3. Employee number 13 was determined to be ranked first because it had the highest score among all alternatives.Keywords: Decision Support System; Performance Assessment; Village Device; SAW Method; Simple Additive Weightin;
Co-Authors Dian Permata Sari Meri, Rozi Silvilestari, Silvilestari Wira Buana, Wira