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All Journal JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL PENDIDIKAN TAMBUSAI Journal of Information Technology and Computer Engineering JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Review Pendidikan dan Pengajaran (JRPP) Jusikom: Jurnal Sistem Informasi Ilmu Komputer bit-Tech Jurnal Sistem informasi dan informatika (SIMIKA) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Infortech Jurnal Pendidikan Guru (JPG) Journal of Computer Scine and Information Technology Bulletin of Computer Science Research Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Komtekinfo SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Sovia, Rini
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Social Sciences Other

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DECISION SUPPORT SYSTEM FOR SELECTING EDUCATIVE EQUIPMENT SUPPLIERS IN TOKO ANDA V7 Sovia, Rini; Rani, Maha; Ardiansyah, Ricki; Rahman, Muhammad Aidil
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 1 (2023): Desember 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i1.2892

Abstract

Abstract: Toko Anda v7 is a shop that sells office stationery and school teaching aids. One of the items frequently ordered at Toko Anda v7 is educational teaching aids (APE). So that shop activities can continue to run, suppliers have a very important role, for this reason the supplier selection process is one of the important decisions that must be taken by the shop. However, this is a problem because each supplier has its own advantages and disadvantages. To help Toko Anda v7 in choosing suppliers, a decision support system was designed. The decision support system is able to provide alternative decision options that can be chosen by decision makers in Toko Anda v7 in determining suppliers of educational teaching aids. The method used in the decision selection process in this decision support system is Weighted Product (WP). Calculations using the Weighted Product (WP) method are able to provide decisions with fast and efficient calculations. The results of designing this decision support system are able to provide a ranking of alternative suppliers based on predetermined criteria.            Keywords: Decision Support System; Supplier; Weighted Product  Abstrak: Toko Anda v7 adalah toko yang bergerak dalam penjualan alat tulis kantor dan alat  peraga sekolah. salah satu barang yang sering dipesan di Toko Anda v7 adalah alat peraga edukatif (APE). agar aktivitas toko tetap dapat berjalan suplier memiliki peran yang sangat penting, untuk itu proses pemilihan suplier menjadi salah satu keputusan yang penting yang harus diambil oleh toko. namun hal tersebut menjadi masalah karena setiap suplier memiliki kelebihan dan kekurangan masing-masing. untuk membantu Toko Anda v7 dalam memilih suplier maka dirancanglah sebuah sistem penunjang keputusan. sistem penunjang keputusan mampu memberikan pilihan alternatif keputusan yang bisa dipilih oleh pembuat keputusan di Toko Anda v7 dalam menentukan suplier alat peraga edukatif. metode yang digunakan dalam proses pemilihan keputusan di sistem penunjang keputusan ini adalah Weighted Product (WP). Perhitungan dengan metode Weigthted Product (WP) mampu memberikan keputusan dengan perhitungan yang cepat dan efisien. hasil dari perencangan sistem penunjang keputusan ini mampu memberikan perangkingan alternatif suplier berdasarkan kriteria-kriteria yang telah ditentukan. Kata kunci: Pemasok; Sistem Penunjang Keputusan; Weighted Product
APPLICATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN SELECTING ACCESSORY SUPPLIERS AT AL-FAZZA COSMETIC STORE Rani, Maha; Christy, Tika; Ardiansyah, Ricki; Sovia, Rini
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 1 (2024): Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3507

Abstract

AbstractAl-Fazza Cosmetic Store is a store engaged in the sale of cosmetics. In an effort to develop and increase sales value, Al-Fazza Store began selling various accessories such as bracelets, necklaces, hair clips and headscarves. To get quality goods and maximum profit, supplier selection is important. However, supplier selection is a problem because each supplier has its own advantages and disadvantages and uniqueness. To help select suppliers at the Al-Fazza Cosmetic Store, the decision support system can provide decision recommendations quickly and accurately based on the criteria given by the decision maker. The method that will be used in processing data and determining decisions in this decision support system is simple additive weighting (saw). The decision results provided by this method can be used as recommendations by decision makers in determining the best supplier. Keywords: simple additive weighting; information systems; decision support systems; suppliers Abstrak: Toko Kosmetik Al-Fazza merupakan toko yang bergerak di bidang penjualan kosmetik. Dalam upaya untuk mengembangkan dan meningkatkan nilai penjualan, Toko Al-Fazza mulai menjual berbagai aksesoris seperti gelang, kalung, jepit rambut, dan jilbab. Untuk mendapatkan barang yang berkualitas dan keuntungan yang maksimal, pemilihan supplier merupakan hal yang penting. Akan tetapi, pemilihan supplier menjadi suatu permasalahan karena setiap supplier memiliki kelebihan dan kekurangan serta keunikannya masing-masing untuk membantu pemilihan supplier pada Toko Kosmetik Al-Fazza. Sistem pendukung keputusan tersebut dapat memberikan rekomendasi keputusan secara cepat dan tepat berdasarkan kriteria yang diberikan oleh pengambil keputusan. Metode yang akan digunakan dalam pengolahan data dan penentuan keputusan pada sistem pendukung keputusan ini adalah simple additive weighting (saw). Hasil keputusan yang diberikan oleh metode ini dapat digunakan sebagai rekomendasi oleh pembuat keputusan dalam menentukan supplier terbaik. Kata kunci: simple additive weighting; sistem informasi; sistem penunjang keputusan;pemasok
OPTIMIZING THE SELECTION OF THE BEST EDUCATIONAL TEACHING AIDS SUPPLIER IN DECISION-MAKING USING THE MOORA METHOD Rani, Maha; Christy, Tika; Ardiansyah, Ricki; Sovia, Rini
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 3 (2025): Juni 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i3.3883

Abstract

Abstract: In the business world, supplier selection plays a crucial role in ensuring smooth company operations. Suppliers are responsible for providing raw materials with consistent quality, timely delivery, and competitive prices. The supplier selection process requires evaluation based on various criteria such as product quality, availability, packaging, price, and warranty. Currently, SNM Store places orders by contacting suppliers one by one via telephone to inquire about item availability. This method is time-consuming and may lead to delays in fulfilling item requirements. To address this issue, a Decision Support System (DSS) is needed to assist in efficiently determining the best supplier. One method that can be used in this system is MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis). MOORA is known to be effective in handling multi-criteria decision-making by simultaneously optimizing multiple objectives. This method also reduces subjectivity by assigning weights to each criterion and uses simple and fast calculations to evaluate the available alternatives. The objectives of this research are to identify the key criteria in supplier selection, apply the MOORA method in an efficient and user-friendly evaluation and selection process, and improve the operational efficiency of SNM Store in procurement so that item availability can be ensured in a timely manner. Keywords: decision support system ; MOORA; supplier Abstrak: Dalam dunia bisnis, pemilihan supplier memegang peranan penting dalam memastikan kelancaran operasional perusahaan. Supplier bertanggung jawab menyediakan bahan baku dengan kualitas konsisten, pengiriman tepat waktu, dan harga kompetitif. Proses seleksi supplier memerlukan evaluasi terhadap berbagai kriteria seperti kualitas produk, ketersediaan, pengemasan, harga, dan garansi. Toko SNM saat ini melakukan pemesanan dengan menghubungi supplier satu per satu melalui telepon untuk menanyakan ketersediaan barang. Metode ini memakan waktu dan dapat menyebabkan keterlambatan dalam pemenuhan kebutuhan barang. Untuk mengatasi hal tersebut, diperlukan sistem pendukung keputusan (Decision Support System) yang dapat membantu dalam menentukan supplier terbaik secara efisien. Salah satu metode yang dapat digunakan dalam sistem ini adalah MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis). MOORA dikenal efektif dalam menangani keputusan multi-kriteria dengan mengoptimalkan berbagai tujuan secara bersamaan. Metode ini juga mengurangi subjektivitas melalui pemberian bobot pada tiap kriteria dan menggunakan perhitungan yang sederhana serta cepat dalam mengevaluasi alternatif yang tersedia. adapun tujuan dari penelitian ini adalah untuk mengidentifikasi kriteria-kriteria penting dalam pemilihan supplier, menerapkan metode MOORA dalam proses evaluasi dan seleksi yang efisien dan mudah digunakan, serta meningkatkan efisiensi operasional Toko SNM dalam hal pengadaan barang agar ketersediaan barang dapat terjamin tepat waktu. Kata kunci: MOORA; sistem penunjang keputusan; supplier; 
Pemanfaatan Aplikasi Untuk Memberikan Diagnosa Awal Penyakit Gigi Dan Mulut Pada Ins Dental Care Sovia, Rini; Ardiansyah, Ricki; Rani, Maha
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 2 (2024): April 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i2.3022

Abstract

Technological developments in various fields continue to increase, one of which is in the health sector, namely the use of applications to provide initial diagnoses of dental and oral diseases. Lack of public awareness and knowledge in maintaining oral health can give rise to various kinds of diseases, some of which can be cured with proper treatment. One way that can be done to prevent this disease is by providing education to the public by using a web-based application. The PKM team held activities at Ins Dental Care. The method used in this activity is training in the use of applications for early diagnosis of dental and oral diseases with the participants being doctors and nurses. The aim of this service activity is to provide knowledge to participants about applications that can be used by participants to provide initial diagnoses of dental and oral diseases so that later participants can easily obtain information about dental and oral diseases. With this application, Ins Dental Care can easily provide education to the public about dental health and reach local communities to provide education about dental health and dental disease. By utilizing a web application for early diagnosis of dental and oral diseases, people can obtain information on diagnosing dental diseases independently without having to come to the clinic.    Keywords: training; application; diagnosis; dental and oral diseases
Sistem Identifikasi Citra Huruf Aksara Minangkabau Berbasis Convolutional Neural Network Saputra, Riyan; Ramadhanu, Agung; Sovia, Rini
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 2 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i2.1214

Abstract

Pelestarian aksara daerah penting untuk menjaga warisan budaya bangsa. Aksara Minangkabau, sebagai salah satu kekayaan budaya Indonesia, masih minim penelitian dan belum memiliki sistem digitalisasi memadai. Penelitian ini merupakan tahap awal eksplorasi pengenalan aksara Minangkabau menggunakan pendekatan Convolutional Neural Network (CNN) sebagai upaya mendokumentasikan dan menguji potensi digitalisasi aksara tersebut. CNN merupakan salah satu model deep learning yang dirancang untuk memproses data grid terstruktur seperti citra. Penelitian sebelumnya menunjukan kinerja CNN sangat baik dalam pengenalan tulisan tangan. Citra aksara yang digunakan dalam penelitian ini diperoleh dari sumber museum dan tulisan tangan dari 31 sukarelawan. Dataset terdiri dari 4.650 citra karakter dari 75 kelas dengan berbagai kombinasi tanda baca pada lima huruf vokal, yang kemudian diproses melalui konversi grayscale, peningkatan kontras, segmentasi, dan augmentasi hingga menghasilkan total 8.537 citra. Model CNN yang dirancang mengklasifikasikan karakter ke dalam 75 kelas. Hasil pengujian mengindikasikan bahwa model dapat mengenali karakter dengan sangat baik. Pengujian menunjukkan akurasi 99% dalam skenario pengujian terbatas pada 500 data uji. Temuan ini memberikan landasan awal untuk digunakan dalam kajian akademis lanjutan maupun diskusi kultural yang lebih luas terkait keberadaan aksara Minangkabau.
Diagnosa Penyakit Tuberkulosis Paru Menggunakan Metode Forward Chaining dan Certainty Factor Wirdawati, Wira; Sovia, Rini; Hendrik, Billy
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 2 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i2.1217

Abstract

Tuberculosis (TB) is an infectious disease that can affect people of all ages, including children, adolescents, and the elderly, and can cause illness and death in over one million people. The disease is spread through coughs or sneezes by people with pulmonary TB, through contaminated saliva, and inhalation by healthy people with weakened immune systems. Therefore, this study aims to develop an expert system to assist in the diagnosis of pulmonary tuberculosis using the Forward Chaining and Certainty Factor methods. This process begins by identifying symptoms reported by the user and then searching for rules in the knowledge base that match those symptoms. This method allows the system to follow a logical flow of reasoning similar to the way a doctor diagnoses a disease. This study used data from 100 patients from 2023 at the Pariaman Community Health Center. Using the Forward Chaining and Certainty Factor methods, three patient data sets with three types of tuberculosis were tested. The percentage results for each type of disease were 100% positive for pulmonary tuberculosis, 0.91% negative for pulmonary tuberculosis, and 0.92% latent for pulmonary tuberculosis, with a confidence level of Very Confident. This research contributes to increasing knowledge and understanding in the field of expert systems, particularly in the application of the Forward Chaining and Certainty Factor methods for diagnosing tuberculosis.
APLIKASI MOBILE E-COMMERCE UNTUK PEMBELAJARAN DENGAN FITUR PEMBAYARAN ONLINE AMAN Gema, Rima Liana; Sovia, Rini; Awal, Hasri
Jurnal Review Pendidikan dan Pengajaran Vol. 8 No. 1 (2025): Volume 8 No. 1 Tahun 2025
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v8i1.41433

Abstract

Pengembangan aplikasi e-commerce berbasis mobile dengan fitur pembayaran online yang aman bertujuan untuk meningkatkan kenyamanan dan keamanan transaksi digital. Dengan pesatnya perkembangan belanja online, dibutuhkan platform yang mudah diakses dan aman bagi pengguna. Penelitian ini mengembangkan aplikasi e-commerce yang mengintegrasikan sistem pembayaran menggunakan teknologi enkripsi dan otentikasi multi-faktor untuk melindungi data pengguna. Metode yang digunakan dalam penelitian ini mencakup analisis kebutuhan, desain sistem, dan implementasi aplikasi berbasis Android menggunakan bahasa pemrograman Java. Hasil penelitian menunjukkan aplikasi ini berhasil meningkatkan pengalaman pengguna melalui antarmuka yang ramah pengguna serta memperkuat keamanan transaksi online. Kesimpulannya, aplikasi ini dapat menjadi solusi bagi konsumen dan pelaku bisnis dalam melakukan transaksi secara efisien dan aman, memenuhi kebutuhan pasar yang semakin mengutamakan kenyamanan dan proteksi data pribadi.
The Development of Affine Transformation Method Using Scale Invariant Feature Transform (SIFT) Hartika Zain, Ruri Hartika; Yuhandri, Yuhandri; Sovia, Rini
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.3653

Abstract

Carving is a technique used to create decorative images on wood, stone, and other materials. In Indonesia, wood is a popular choice because of its durability and attractive grain. Examples of wood carvings include floral designs. The carving process can involve changes in color, texture, and scale, which may affect the carving's size and appearance and cause dimensional changes in certain materials. This study addresses the issue of quality control in wood carving on thin veneer layers. Free wood-carving data are provided as 200 flower images that can be used as input images. Affine transformation is used to determine the system behavior and the material transfer function during the production process. Additionally, we propose extending the affine transformation method to use the Scale-Invariant Feature Transform (SIFT). Affine transformations enable correlation analysis, outlier removal, and feature orientation in the affine domain. The SIFT algorithm accounts for scale, rotation, brightness, and perspective. Applications using ASIFT can efficiently process images and handle those with different pixel sizes to create new carvings. Training samples used to update the filter model are changed to the same pose. This enables the flower wood carving filter to represent objects with 98% accuracy. The model is then used to predict the class of the flower-carving data and to compute the distance between the template image's features and those of the input flower-wood-carving image. This research project has successfully developed an Affine Transformation method using SIFT features to create a new engraving application based on the ASIFT approach. 
Co-Authors Adinda Syalsabila Aditra Agus Salim, David Al-arrafi, Muhammad Ikhsan Awal, Hasri Borianto, B Chairunnissa Deliva Akbar, Syifa Devia Kartika Dila, Rahmah Effendy, Geraldo Revanska Elmi Rahmawati, Elmi Erlanda, Hadrian Fana, Wulan Stau Fatimah, Noor Gema, Rima Liana Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo, Gunadi Gusriva, Revi Hadi, Aulia Fitrul Hadiyanto, Tegas Harnaranda, Jefri Hartika Zain, Ruri Hartika Hendri Irawan Hendrik, Billy Huda, Ramzil Islam, Md Ataul Khomsi, Ahmad Lubis, Fitri Amelia Sari maha rani Nabila, Tuti Nurdiansyah, Ali Nursyahrina Permana, Randi Permana, Randy Putra, Kharisma Utama Rahmad Rahmad Rahman, Muhammad Aidil Rahman, Zumardi Rais, Edo Rinaldi Ramadhanu, Agung Renaldi, Encik Yoega Ricki Ardiansyah, Ricki Ridwan Sutri Rinaldi Chan, Fajri Riyan Saputra Riyan Saputra, Riyan Roza, Yesi Betriana Rozakh, Muhammad Sandawa, Hoka Muhgrah Saputra, Randy Sarjon Defit Selfi Melisa Siregar, Diffri Sumijan Sumijan Sumijan Sutri, Ridwan Syafril Syafril Syaiffullah, Afif Tika Christy Wahyudi, Anggy Wedo, Mhd Wirdawati, Wira Yanti, Rahma Yasmin, Nabilla Yenila, Firna Yuhandri Yuhandri Yuhandri, Yuhandri Yuhandri, Y