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Pratiwi, Mutiana
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Penerapan Sistem Pakar Dalam Diagnosa Pengguna Narkoba Menggunakan Metode Naïve Bayes Marfalino, Hari; Pratiwi, Mutiana; Arief Wisky, Irzal; Akhiyar, Dinul
Jurnal Sains Informatika Terapan Vol. 2 No. 2 (2023): Jurnal Sains Informatika Terapan (Juni, 2023)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v2i2.159

Abstract

Perkembangan teknologi saat ini terasa sangat membantu pengguna dalam hal apapun. Tidak terkecuali membantu pihak berwajib dalam menentukan seseorang melakukan penyalahangunaan narkoba. Penyalahgunaan narkoba merupakan masalah serius yang mempengaruhi Kesehatan dan kualitas hiduo individu. Penelitian ini bertujuan untuk mengembangkan sebuah sistem pakar yang dapat membantu dalam proses diagnosa pengguna narkoba menggunakan metode Naïve Bayes. Metode Naïve Bayes adalah salah satu metode klasifikasi yang berdasarkan teorema bayes dengan asumsi bahwa semua atribut yang digunakan diklasifikasi adalah independent. Atribut yang digunakan dalam penelitian ini adalah usia, jenis kelamin, Riwayat pengguna narkoba, dan gejala. Penelitian ini menggunakan data dari individu yang telah terdiagnosis sebagai pengguna narkoba. Hasil penelitian ini adalah menghasilkan diagnosa jenis narkoba yang dikonsumsi dengan nilai akurasi. Terdapat salah satu pengguna narkoba yang terdiagnosa penyalahgunaan narkoba jenis Sabu dengan nilai akurasi 0.4468.
DECISION SUPPORT SYSTEM FOR SCHOLARSHIP RECIPIENT SELECTION USING THE SIMPLE ADDITIVE WEIGHTING (SAW) METHOD Mardhiah, Putri; Pratiwi, Mutiana; Akhiyar, Dinul; Arsyah, Ulya Ilhami
Jurnal Sains Informatika Terapan Vol. 3 No. 2 (2024): Jurnal Sains Informatika Terapan (Juni, 2024)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v3i2.380

Abstract

The advancement of science facilitates the development of new technologies that signify the progress of society. MTsS Muhammadiyah Kurai Taji aims to incorporate information technology into its data processing activities. Currently, the school relies on manual methods for processing student data, which often results in inaccuracies, particularly in classifying underprivileged students and other categories. This manual approach has led to challenges in maintaining valid data, which in turn complicates the decision-making process for scholarship allocations. To address these issues, the author proposes the development of a web-based A decision Support System (DSS). A DSS is a computer-based information system designed to support organizational decision-making. The proposed system will utilize MySQL database management to ensure the accuracy and validity of the data. By implementing this web-based information system, the school will benefit from increased time efficiency in data retrieval and scholarship processing. Additionally, this system will streamline reporting processes and improve the identification of students eligible for scholarship assistance, thereby addressing the current challenges faced by the school.
Sistem Inventory Menggunakan Metode Supply Chain Management dalam Mengatur Jumlah Ketersediaan Obat pada Apotik Pratiwi, Mutiana; Ilhami Arsyah, Ulya; Pramana Gusman, Aggy; Muhammad, Abulwafa
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 1 No. 2 (2021): Indonesian Journal of Informatic Research and Software Engineering
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.294 KB) | DOI: 10.57152/ijirse.v1i2.143

Abstract

The development of information technology provides great benefits and convenience, both in terms of data processing and presentation of information on inventory of existing goods in organizations, agencies or companies. One of the business processes that can be developed through information technology is the company's supply chain management process. An inventory information system using a good Supply Chain Management (SCM) method will increase the productivity and performance of the company. In conducting the research conducted at the pharmacy, the aim was to improve the old system. By conducting direct observations in the field, several weaknesses were found from the system that was running at the Arafah Padang Pharmacy. The results of the analysis are applied in an application that is able to process inventory system data using the Supply Chain Management (SCM) method. With the design of an inventory system with the Supply Chain Management (SCM) method, it can be more helpful in processing drug inventory data and the existing inventory system can increase the effectiveness and work efficiency of Pharmacy employees.
Medical Record Information System with Rapid Application Development (RAD) Method Pratiwi, Mutiana; Mayola, Liga; Kris Hiburan Laoli, Vince; Ilhami Arsyah, Ulya; Pratiwi, Nila
Journal of Information Systems and Technology Research Vol. 1 No. 2 (2022): May 2022
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v1i2.170

Abstract

Computer technology that is increasingly developing has created a situation that demands everything to be computerized. Science from technology has also changed the way of life of most Indonesians. The presence of information and communication technology affects the technology applied in information systems, especially the input and output mechanisms. One of them is at the Clinic which requires computer technology in its operations. The design of this website also uses 3 stages of Rapid Application Development (RAD) system design, the result of which is a website for a medical record information system. In order for clinical activities to run smoothly at the Clinic, an information system using the Rapid Application Development (RAD) method is needed because the software development process model is classified as an incremental technique and emphasizes short, short, and fast development cycles. Medical record system testing will be tested using Blackbox Testing and User Acceptance Test (UAT) testing.
Deep Learning Based Technical Classification of Badminton Pose with Convolutional Neural Networks Tukino, Tukino; Pratiwi, Mutiana; Defit, Sarjon
ILKOM Jurnal Ilmiah Vol 16, No 1 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i1.1951.76-86

Abstract

This research aims to identify and categorize badminton strategies using a Convolutional Neural Network (CNN) model combined with BlazePose architecture and Mediapipe Pose Solution tools, yielding understandable and practical results. The challenge of finding the best mobility strategy for badminton serves as the primary motivation for this study. The research employs an image recognition and supervised learning approach to classify poses in badminton training videos. The training data comprises various photos and images representing different badminton techniques, such as Service Technique and Smash Technique. After data processing, the CNN model is trained using the training data to identify and classify poses in badminton training videos. Testing is conducted using test data, and classification accuracy is evaluated using the CNN method. The results show that the CNN model implemented alongside BlazePose and Mediapipe Pose Solution achieves significant classification accuracy, ranging from 80% to 90%. Thus, this research presents an effective and practical method for classifying badminton strategies based on poses in training videos.
Recommendation for Prospective Permanent Employees using the Simple Additive Weighting Method Haidir, Ahmad; Gushelmi; Pratiwi, Mutiana
Journal of Computer Scine and Information Technology Volume 10 Issue 4 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i4.113

Abstract

The rapid development of technological progress has made the use of personal computer technology increase significantly, where this use has made computers into branches that can still be developed, one of which is creating a decision-making system. Decision Support System is a computer-based system that is intended to assist decision making by utilizing certain data and models to solve various semi-structured problems. The application of Decision Support Systems can be found in various fields, one of which is a decision support system for prospective employees. This study aims to design a system that can provide the best decision in determining permanent employees at J&T Express Kotanopan. The method used in this study is the SAW (Simple Additive Weighting) method, with a website-based decision support system that can be used without time and place constraints, it can help J&T Express in selecting permanent employees. The results of testing this method have an accuracy level of more than 90% based on the data tested. Based on the results of the highest value obtained using the SAW method, this study was successful in determining permanent employees at J&T Express Kotanopan
Analysis of Shape and Texture Identifying and Detecting Apple Fruit Pratiwi, Mutiana; Arsyah, Ulya Ilhami
Innovative: Journal Of Social Science Research Vol. 5 No. 1 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i1.17727

Abstract

Penelitian ini mengusulkan sebuah sistem untuk mengklasifikasikan tingkat kematangan apel dengan menggunakan metode K-Nearest Neighbor (KNN) berdasarkan fitur bentuk dan tekstur apel. Tujuan dari penelitian ini adalah untuk membantu sistem membedakan antara apel hijau dan apel merah. Proses identifikasi dimulai dengan segmentasi citra menggunakan metode KNN. Hasil segmentasi citra terlebih dahulu diubah menjadi citra biner, kemudian diubah menjadi citra grayscale. Kinerja sistem dicapai dengan mengombinasikan metode KNN dengan ekstraksi fitur citra grayscale. Fitur-fitur yang diekstraksi meliputi nilai metrik sebesar 0,5, eksentrisitas 0,2, kontras 0,1, korelasi 0,9, energi 0,3, dan homogenitas 0,9. Berdasarkan nilai-nilai tersebut, sistem mampu mengidentifikasi apel merah dengan akurat.
Pengelolaan dan Pemanfaatan Manajemen Referensi pada Penulisan Ilmiah Arsyah, Ulya Ilhami; Pratiwi, Mutiana
Journal Of Indonesian Social Society (JISS) Vol. 3 No. 1 (2025): JISS - Februari
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jiss.v3i1.475

Abstract

Teknologi informasi dan komunikasi telah memengaruhi hampir semua aspek kehidupan, termasuk pendidikan. Penting bagi mahasiswa untuk mengembangkan keterampilan yang diperlukan untuk beradaptasi dengan perkembangan teknologi ini. Saat ini penerapan teknologi sudah mulai pesat, tidak ada satupun kegiatan yang tidak melibatkan penggunaan komputer. Salah satu software gratis yang dapat digunakan untuk manajemen referensi pada penulisan karya ilmiah atau tugas akhir.  Pelatihan manajemen referensi merupakan kebutuhan penting bagi mahamahasiswa, khususnya dalam mendukung penyusunan karya ilmiah yang terstruktur dan terorganisir. Program pengabdian kepada masyarakat ini bertujuan untuk memberikan pelatihan manajemen referensi bagi mahamahasiswa organisasi Al-Makki Universitas Al-Azhar, Mesir. Pelatihan ini berfokus pada penggunaan perangkat lunak manajemen referensi, seperti Mendeley dan Zotero, yang memungkinkan mahamahasiswa untuk menyimpan, mengelola, serta menyusun daftar pustaka secara efisien. Metode pelatihan meliputi pembekalan teoretis, demonstrasi, dan praktik langsung, sehingga peserta dapat memahami cara mengintegrasikan aplikasi manajemen referensi dalam penulisan ilmiah mereka. Hasil dari kegiatan ini menunjukkan peningkatan kemampuan peserta dalam mengelola referensi secara otomatis, mengurangi kesalahan pengutipan, serta meningkatkan produktivitas dalam penulisan karya ilmiah. Program ini juga menjadi langkah awal dalam membangun budaya akademik yang lebih profesional di kalangan mahamahasiswa Universitas Al-Azhar, Mesir. Dari 40 peserta baik secara offline maupun online yang mengikuti kegiatan ini, sebanyak 83% berhasil memahami penggunaan aplikasi Mendeley, sementara sisanya (17%) masih mengalami kesulitan, terutama karena keterbatasan, seperti tidak memiliki laptop. Berdasarkan hasil tersebut, aktivitas ini dinilai berhasil mencapai tujuan yang diharapkan dalam program pengabdian kemitraan masyarakat.
Decision Support System Using the SMART Method in Determining the Status of Contract Employees from Permanent Employees Nitami, Dian; Rianti, Eva; Pratiwi, Mutiana
Journal of Computer Scine and Information Technology Volume 10 Issue 3 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i3.105

Abstract

Employee performance assessment is a way to determine the abilities of each employee. The assessment is carried out to obtain materials for developing the company's human resources. The process of appointing contract employees to permanent positions is still not effective, this results in doubt in decision making which allows errors to occur. In this research, a system for decision making will be built, where this research uses the Multi Attribute Rating Technique (SMART) method. The SMART method is a multi-criteria decision making technique that compares one criterion with another. The data used in this research uses 3 factors and 12 employee data to be selected. For assessment using the SMART method based on criteria and weights, a score above 80 is declared a pass to become a permanent employee. Research using the Simple SMART method can help the Ibnu Sina Islamic Hospital in West Pasaman in managing the data or criteria used in determining the status of contract employees, so that they can determine employees who are in accordance with the quality and quantity of human resources needed and as a basis for making decisions. become a permanent employee.
Sistem Pakar Diagnosis Anak Inklusi Memanfaatkan Fasilitas Interaksi Berbasis Multimedia Pratiwi, Mutiana
Jurnal Rekayasa Sistem & Industri Vol 5 No 01 (2018): Jurnal Rekayasa Sistem & Industri - Juni 2018 (In Press)
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v4i02.284

Abstract

Inklusif merupakan sebuah pendidikan yang memberikan kesempatan kepada semua peserta didik yang memiliki kelainan dan memiliki potensi kecerdasan dan atau bakat istimewa untuk mengikuti pendidikan atau belajar dalam satu lingkungan pendidikan secara bersama-sama dengan peserta didik pada umumnya. Saat sekarang orang tua sangat tidak peka terhadap tumbuh kembang anaknya. Tumbuh kembang anak paling sering terabaikan karena banyak faktor salah satunya karena sibuk mengurus pekerjaan. Maka dari itu, penelitian ini dibuat agar membantu orang tua mengetahui tumbuh kembang anak dari perilaku sehari-hari. Karena banyak yang tidak menyadari, kalau perilaku keseharian anak-anak dapat menjadi faktor munculnya sebuah syndrome atau dikenal dengan anak kebutuhan khusus. Salah satu syndrom yang paling banyak berada pada pendidikan inklusif adalah Tunagrahita. Anak Tunagrahita merupakan anak yang mempunyai tingkat intelektual dibawah rata-rata. Maka dari itu orang tua harus mengenali lebih dini ciri-ciri tunagrahita pada anak. Untuk itu Penelitian ini juga bertujuan membangun sistem pakar untuk diagnosa anak tunagrahita. Metode yang digunakan pada sistem pakar ini adalah metode Forward Chaining.
Co-Authors Abulwafa Muhammad Aggy Pramana Gusman Aminuyati Anam, M Khairul Arsyah, Ulya Ilhami Devia Kartika Dinul Akhiyar Fryonanda, Harfebi Gema, Rima Liana Gushelmi Haidir, Ahmad Irzal Arief Wisky Kris Hiburan Laoli, Vince Liana Gema, Rima Liga Mayola Lusinia, Shary Armonitha Mardhiah, Putri Marfalino, Hari Muhammad, Abulwafa Munawir Munawir Nitami, Dian Rianti, Eva Sarjon Defit Tukino, Tukino