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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ILKOM Jurnal Ilmiah Jurnal Matematika UNAND REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Indonesian Journal of Electrical Engineering and Computer Science Jurnal Inovasi Teknik Informatika Journal of Computer Networks, Architecture and High Performance Computing Journal of Applied Data Sciences Journal of Computer Scine and Information Technology Jurnal Abdimas ADPI Sains dan Teknologi Jurnal Ipteks Terapan : research of applied science and education pendidikan, science, teknologi, dan ekonomi Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo Jurnal Pustaka Robot Sister
Teri Ade Putra
Universitas Putra Indonesia YPTK Padang
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Optimization Analysis Model Determining PNMP Mandiri Loan Status Based on Pearson Correlation Teri Ade Putra; Pradani Ayu Widya Purnama; Riandana Afira; Yesri Elva
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 6 (2022): Desember 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i6.4469

Abstract

PNPM Mandiri is an organization engaged in financing small and medium enterprises in the community. The problem that always occurs is an error in determining the loan status resulting in bad credit. This study aims to present a classification analysis model for determining loan status at PNPM Mandiri. The classification analysis model was built using the Perceptron algorithm artificial neural network. The analysis model will later be optimized using the Person Correlation (PC) method to measure the accuracy of the variables used. The research dataset is based on historical data from the last 2 years as many as 67 data samples. The analysis variables consist of Business Type (X1), Loan Amount (X2), Collateral (X3), Income (X4), and Expenses (X5). The results of the analysis show that the model built can provide optimal classification results. These results can be seen based on the results of variable measurements using the PC method indicating that variable X2 has no significant relationship. With the results of these measurements, the performance of the artificial neural network presents maximum results in determining loan status. Overall, the results of this study can provide an effective analytical model as well as an alternative solution for determining loan status.
COUNTING GAME APPLICATION FOR KINDERGARTEN CHILDREN Teri Ade Putra; Raja Ayu Mahessya; Yesri Elva; Pradani Ayu Widya Purnama
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 4 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (762.094 KB) | DOI: 10.22216/jit.v%vi%i.793

Abstract

Problems The development of Information Technology plays an important role in human life. With the development of Information Technology, humans can easily get information and humans can easily carry out daily activities with the help of existing technology. Technology brings people to see the outside world further, open their minds to think, and build creativity to create new things, one of the technologies that is currently developing very rapidly is smartphone-based technology, especially Android. Many android applications are very helpful at this time such as health applications, transportation and there are also educational games. Educational games can make it easier to learn, sometimes when learning someone will be faced with conditions where it is difficult to understand the lesson, so with the educational game it is hoped that it can help users understand the lessons in the game, besides that educational games are a very fun learning tool for students. , because students will be happier and easier to understand by playing while learning
APPLICATION OF THE ECONOMIC ORDER QUANTITY METHOD FOR OPTIMIZATION OF SUPPLAY CHAIN MANAGEMENT IN CONTROLLING PRODUCT INVENTORY Abulwafa Muhammad; Wega Andre; Teri Ade Putra
Jurnal Ipteks Terapan Vol. 17 No. 2 (2023): Jurnal Ipteks Terapan
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22216/jit.v17i2.2185

Abstract

Toko Sri Bunga is an electronic store that obtains products from various suppliers then sells and delivers these products to consumers. The existing supplier and consumer management processes are conventional. This raises several problems related to product inventory, minimum product stock determination, and high inventory costs. The purpose of this research is to optimize supply chain management (SCM) in inventory control at Sri Bunga shops using the Economic Order Quantity (EOQ) method. This method is used to get the most optimal calculation of the number of orders, inventory and storage costs. The results of this study based on the calculation of the EOQ method on one sample of LG 24 TL 520V-PT TV products for 6 months obtained optimal results for ordering 36 product units with a total inventory cost of IDR 1,014,935. The results of this study can be used as a reference for the development of SCM applications used in supplier and consumer management
Selection of Quality Textile Materials as a Support for Supply Chain Management with the Weighted Product Method Alvi Martunasia; Teri Ade Putra; Raja Ayu Mahessya
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.72

Abstract

Decision making is a matter that is very influential in the process of dealing with the selected alternative. At this time in making decisions is no longer just by human reason. Human limitations in thinking to solve a problem can now be assisted by computerization. The use of computers has developed from just processing data or presenting information, to being able to provide choices as a support for decision makers. The development of information technology has enabled decision makers to be made more quickly and accurately. The research aims to apply the weighted product method in reducing errors in the selection of quality textile materials. This research aims to facilitate the selection of quality textile materials. This research aims to be a good solution for khatialo shops in selecting quality textile materials. The weighted product (WP) method is one of the methods used to complete a decision-making system by considering the criteria and weights . Then proceed with the ranking process which will select the best alternative from a number of alternatives, in this case the alternative in question is the selection of quality textile materials based on the specified criteria. The results obtained with the highest rating value were achieved by the 4th alternative called Semi Sutra with the code TK04 alternative
Optimization deep learning with rough set approach model classification Otitis Irzal Arief Wisky; Teri Ade Putra
Indonesian Journal of Electrical Engineering and Computer Science Vol 32, No 3: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v32.i3.pp1795-1804

Abstract

Otitis is a disease that occurs in the middle ear in the form of inflammation. This research aims to develop an analysis model for the classification of Otitis disease based on knowledge patterns based on symptoms and type of disease. The analysis methods used include the performance of the certainty factor (CF), rough set (RS), artificial neural network (ANN), and decision tree (DT) methods. CF and RS performance can be used to generate classification rule patterns. These rule patterns become new knowledge in the classification analysis process using the concept of deep learning (DL). DL analysis with ANN and DT performance can work optimally in exploring and discovering hidden knowledge. Based on the results of performance testing, the combination of CF and RS in preprocessing can present a classification pattern of 106 rules. The output of DL analysis results is proven to produce precise and accurate classification results with an accuracy of 89%. Based on these results, the analytical model developed was proven to be effective in classifying Otitis disease. Not only that, this research is also able to contribute to updating the knowledge-based system in the classification process.
Penerapan IT Bussines Management dalam Upaya Peningkatan Strategi Bisnis Pemasaran pada Batik Bungo Berbasis Web Purnawita Rahayu; Teri Ade Putra; Raja Ayu Mahessya
Jurnal Pustaka Robot Sister (Jurnal Pusat Akses Kajian Robotika, Sistem Tertanam, dan Sistem Terdistribusi) Vol 2 No 1 (2024): Jurnal Pustaka Robot Sister (Pusat Akses Kajian Robotika, Sistem Tertanam, dan Si
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakarobotsister.v2i1.449

Abstract

Teknologi informasi memiliki kekuatan untuk mengembangkan industri dan mentransformasikan bagaimana bisnis dijalankan. Berbagai perusahaan terkemuka serta industri - industri telah memanfaatkan teknologi informasi dalam melakukan pemikiran ulang strategi bisnis. Teknologi informasi bisnis adalah suatu kegiatan yang dilakukan individu atau kelompok orang yang memiliki nilai (value) dengan tujuan mendapatkan keuntungan yang dilakukan dengan bantuan teknologi informasi. Tatakelola Teknologi Informasi (TI) merupakan salah satu aspek penting dari tatakelola perusahaan secara keseluruhan. Pengelolaan TI yang baik akan menjamin efisiensi dan pencapaian kualitas layanan yang baik bagi tujuan bisnis perusahaan. Penerapan tatakelola ini harus direncanakan dengan baik agar dapat diimplementasikan sesuai dengan kondisi dan kemampuan perusahaan. Salah satunya yaitu penerapan It Businness Management Pada Industri Batik Bungo untuk meningkatkan strategi pemasaran. Penelitian ini memiliki tujuan untuk meningkatkan penjualan dan pemasaran pada batik bungo dan mengatur strategi yang baik pada industri batik bungo.
Klasifikasi Penjualan Produk Menggunakan Algoritma Naive Bayes pada Konter HP Bayu Cell Purnama, Pradani Ayu Widya; Putra, Teri Ade
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 8 No. 1 (2024): Call for Paper: Volume 8 Nomor 1 Januari 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v8i1.13207

Abstract

Data Mining merupakan proses iteratif dan interaktif untuk menemukan pola atau model baru yang dapat digeneralisasi untuk masa yang akan datang, bermanfaat dan dapat dimengerti dalam suatu database yang sangat besar (massive database). Pada Konter HP Bayu Cell mempunyai masalah dalam menentukan produk yang laris atau tidak laris terjual pada konter tersebut. Dengan demikian untuk adanya suatu sistem yang dapat menunjang Konter HP Bayu Cell dalam mengambil keputusan secara cepat dan tepat agar tidak terjadinya penumpukan produk. Untuk itu pada penelitian ini penulis menggunakan Algoritma Data Mining Metode Algoritma Naïve Bayes, Pada metode Naive Bayes untuk ukuran peluang suatu peristiwa yang terjadi berdasarkan peristiwa lain yang telah (dengan asumsi, praduga, pernyataan, atau terbukti) terjadi. Pada data training yang dilakukan dengan produk handphone REDMI NOTE 9 menggunakan algoritma Naive Bayes dimana menghasilkan klasifikasi masuk ke kategori “Laris” dengan nilai 0,005211. Oleh karena itu pada konter HP Bayu sudah dapat menghasilkan hasil yang diharapkan dan dapat membantu dalam mengetahui mana saja produk handphone yang termasuk kategori laris dan tidak laris.
Penerapan Metode Simple Multi-Attribute Rating Technique (SMART) Untuk Menetukan Penerimaan Karyawan Pada PT.Suka Fajar Purnama, Pradani Widya Pradani; Putra, Teri Ade; Afira, Riandana
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 8 No. 3 (2024): Volume 8 Nomor 3 Agustus 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v8i3.13946

Abstract

Salah satu bagian penting dalam sebuah perusahaan adalah sumber daya manusia atau karyawan. Karyawan merupakan satu investasi bagi perusahaan untuk tumbuh kembang sesuai dengan visi misi dan tujuan dari perusahaan. Proses penerimaan karyawan memerlukan cara yang profesional dan akurat agar menghasilkan karyawan yang dapat mendukung mutu dan kesuksesan perusahaan. Data yang digunakan pada penelitian ini adalah data karyawan pada PT.Suka Fajar. Dimana pada penelitian menggunakan 6 buah kriteria yang sering menjadi pertimbangan diantarnya Pendidikan, Pengalaman Kerja, Status, Umur , Tes, Wawancara yang akan diolah menggunakan metode SMART. Dimana bobot pada tiap kriteria memiliki nilai interval 0-100 untuk tiap kriteria tergantung prioritas yang didahulukan. Hasil dari perhitungan dengan metode SMART diperolehlah dari 10 karyawan makan sebanyak 6 karyawan dinyatakan LOLOS dan 4 karyawan dinyatakan GAGAL.
Optimalisasi Customer Relationship Management dalam Memberikan Rekomendasi Pembelian Laptop pada Toko Kaito Komputer & CCTV Boy cenly dwi Sandes Pasella; Abulwafa Muhammad; Teri Ade Putra
Jurnal KomtekInfo Vol. 10 No. 4 (2023): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v10i4.464

Abstract

Laptop merupakan bentuk dari perkembangan teknologi yang banyak digunakan dalam berbagai bidang seperti pekerjaan, pendidikan, dan hiburan. Namun, banyak pengguna terkadang menghadapi kendala dalam memilih laptop yang sesuai dengan kebutuhan mereka, walaupun memiliki buget yang cukup memilih laptop yang cocok dan sesuai bukanlah hal yang mudah, hal tersebut dapat membuat penggunaan laptop yang tidak optimal terhadap kebutuhan penggunanya. Untuk itu, pada penelitian ini akan mengatasi masalah tersebut dengan mengembangkan sistem pendukung keputusan. Sistem pendukung keputusan digunakan sebagai upaya dalam merekomendasi laptop kepada pembeli. Adapun metode yang digunakan dalam sistem pendukung keputusan ini adalah SMART (Simple Multi Attribute Rating Technique). Penelitian ini bertujuan untuk memberikan rekomendasi pembelian laptop yang berlandaskan pada atribut user, penggunaan, buget, ukuran layar, sehingga dapat mempermudah pengambilan keputusan pembelian bagi konsumen. Implementasi metode SMART di Toko Kaito Komputer & CCTV diharapkan dapat meningkatkan tingkat kepuasan konsumen melalui penyediaan rekomendasi yang lebih terpersonalisasi. Dengan demikian, penelitian ini tidak hanya memberikan kontribusi pada pemahaman konsumen terhadap kebutuhan teknologi, tetapi juga berpotensi memperkuat hubungan antara konsumen dan penyedia layanan.
Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X Putra, Teri Ade; Ariandi, Vicky; Defit, Sarjon
ILKOM Jurnal Ilmiah Vol 16, No 2 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i2.2058.184-189

Abstract

Online loans (commonly referred to as Pinjol) have become a widespread phenomenon in Indonesia, both in legal and illegal forms. It is undeniable that this is in line with the rapid development and innovation of technology. Pinjol cannot be separated from public comments, both positive and negative, on social media X. The study examined the communication patterns of Indonesian people using a sentiment analysis approach. The research utilized the Random Forest algorithm to perform sentient analysis. This algorithm combined the output of several decision trees to achieve a more accurate result. In addition to using a random forest algorithm, this study also made improvements by using stacking and boosting. The results of this study indicated that the highest accuracy of 86% was obtained by the SMOTE+RF+Adaboost (Boosting) model. In contrast, the lowest accuracy  of 60% was obtained in the RF+Adaboost model with a stacking technique.
Co-Authors Afriadi, Damrul Agung Ramadhanu Alvi Martunasia Anam, M Khairul Andani Putra Pratama Ariandi, Vicky Aulia Fitrul Hadi Ayu Mahessya, Raja Ayu, Purnama Boy cenly dwi Sandes Pasella Dinul Akhiyar Firdaus, Muhammad Bambang Gema, Rima Liana Gunawan, Chichi Rizka Ikhsan Ikhsan Irzal Arif Wisky Jafnihirda, Lika Karfindo, Karfindo Lika Jafnihirda M.Hafizh Muhammad, Abulwafa Ondra Eka Putra Pandu Pratama Putra, Pandu Pratama Pradani Ayu Widya Purnama Purnama, Ayu Widya Purnama, Pradani Widya Pradani Purnawita Rahayu Rahman, Sepsa Nur Rahmat , Muhammad Arif Reza Suriadinata Riandana Afira Riki Iskandar Rio Andika Malik Sarjon Defit Wega Andre Wijaya, Romi Yesri Elva Yuhandri Yuhandri, Yuhandri