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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Ensiklopedia Social Review Jurnal Informatika Ekonomi Bisnis Tematik : Jurnal Teknologi Informasi Komunikasi Wahana Dedikasi : Jurnal PkM Ilmu Kependidikan Journal of Science and Technology Jurnal Pustaka Aktiva : Pusat Akses Kajian Akuntansi, Manajemen, Investasi, dan Valuta Jurnal Pusat Akses Kajian Manajemen Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE Jurnal Manajemen dan Bisnis Journal of Systems Engineering and Information Technology Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Jurnal Informatika Ekonomi Bisnis JAKBS Jurnal Point Equilibrium Manajemen dan Akuntansi Jurnal Pustaka Paket Jurnal Ilmiah Manajemen Dan Kewirausahaan
Dedi Mardianto
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Pengaruh Biaya Overhead Pabrik dan Biaya Tenaga Kerja Langsung terhadap Hasil Penjualan Pada Usaha Loyang Pak May Padang Oktaviani, Nichy; Mardianto, Dedi; Handayani, Deby
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 2 (June 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (355.629 KB) | DOI: 10.37034/infeb.v5i2.530

Abstract

This study aims to determine the effect of factory overhead costs and direct labor costs on sales results in Pak May Padang's baking pan business. Taking this title is based on the phenomenon that many business actors do not understand the calculation of production reports so that sales results are not clear, as we can see for ourselves business actors often neglect recording financial reports, the need to know sales results so that they can determine the number of products to be produced and sold in more detail. This study uses a type of quantitative research. The data taken is in the form of secondary data by conducting direct interviews with business owners, by preparing question materials and looking at records of factory overhead costs and direct labor costs during the period 2018 to 2022. This study conducted a classic assumption test, hypothesis testing using SPSS version 21. With the results of the study stating Seeing the results of the tests that have been carried out proves that partially Factory Overhead Costs have a significant effect on Sales Results, direct labor costs have no significant effect on sales results and simultaneously both variables have a significant effect on Sales Results, and can also be seen Adjusted R Square of 0.501 or 50.1% This means that 50.1% of the Sales Results variable is influenced by Factory Overhead Costs and Direct Labor Costs, the remaining 49.9% is influenced by other variables outside of this research variable.
Analisis Regresi dan Korelasi Antara Kualitas Produk terhadap Keputusan Pembelian Produk Smartphone Oppo di Kota Pariaman Mardianto, Dedi; Handayani, Deby; Zaki
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 3 (September 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i3.613

Abstract

This study is entitled regression analysis and correlation between product quality and purchasing decisions for Oppo smartphone products in Kota Pariaman. Statistical science can be used in estimating consumer purchasing decisions involving product quality. The number of respondents amounted to 16 data taken by the proposive sampling method. The method used is Simple Linear Regression. The result of the equation is Y ̂=184.41-0.6X. The degree of relationship or Pearson correlation between variables X and Y is 77.7% which is categorized as having a high relationship. While the results of the F test obtained F count of 47.85 and F table of 4.6, because the results of F count were greater than F tables, which meant that the product quality variable had an effect on the purchasing decision variable.
Implementasi Model Hybrid CNN-LSTM untuk Optimasi Pengalaman Pengguna Perangkat Seluler Yuhefizar; Ismael; Arif Rizki Marsa; Dedi Mardianto; Ronal Watrianthos
TEMATIK Vol. 11 No. 2 (2024): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2024
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v11i2.2125

Abstract

This research employs a convolutional neural network (CNN) with long short-term memory (LSTM) to analyse and predict the behaviour of users of mobile devices, utilising a dataset comprising 700 users. The model combines the strengths of convolutional neural networks (CNNs) in spatial feature extraction and long short-term memory (LSTM) networks in temporal sequential analysis. The results demonstrate that the model exhibits excellent performance, with 92% accuracy, 89% precision, 91% recall, and 90% F1 score. The temporal pattern analysis revealed significant variation between the user classes, with the intensive class showing consistently high usage, averaging 300 minutes per day. The key factors influencing the user experience were identified as app usage time (25%), screen on time (22%), and battery consumption (18%). The segmentation of users resulted in the identification of five distinct groups, with Segment 2 exhibiting the highest usage level (6.2 hours per day) and Segment 5 displaying the lowest (1.3 hours per day). The strong correlation (0.89) between app usage time and screen time serves to confirm the importance of optimising the performance of apps. These findings provide a basis for more effective service personalisation and more targeted app development, thereby paving the way for the optimisation of the user experience on mobile devices.
Optimalisasi Persediaan Bahan Bakar Pertamax Pada CV. Almy Limko Karya Menggunakan Metode Economic Order Quantity (EOQ) Putri, Noni Sartika; Nurtati, Nurtati; Mardianto, Dedi
Jurnal Pustaka Aktiva (Pusat Akses Kajian Akuntansi, Manajemen, Investasi, dan Valuta) Vol 5 No 1 (2025): Jurnal Pustaka Aktiva (Pusat Akses Kajian Akuntansi, Manajemen, Investasi, dan Va
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaaktiva.v5i1.931

Abstract

CV. Almy Limko Karya merupakan perusahaan yang bergerak dibidang perdagangan ritel produk Pertamina non subsidi yaitu bahan bakar Pertamax sebagai bahan bakar alat transportasi. Dalam melakukan kegiatan penjualan perusahaan sangat berkaitan dengan persediaan bahan bakar. Dimana persediaan ini merupakan salah satu kegiatan manajemen yang berhubungan dengan biaya penyimpanan dan biaya pemesanan sehingga diperlukan optimalisasi persediaan. Dalam penelitian ini penulis menggunakan metode Economic Order Quantity untuk mengoptimalkan persediaan tersebut. Penelitian ini bertujuan untuk mengetahui optimalisasi persediaan bahan bakar minyak pada CV. Almy Limko Karya yang akan dibandingkan dengan optimalisasi persediaan bahan bakar minyak menggunakan metode Economic Order Quantity. Hasil penelitian menunjukan bahwa jika perhitungan menggunakan metode EOQ lebih efisien dan mampu menghemat biaya persediaan. CV. Almy Limko Karya menetapkan jumlah pemesanan setiap kali pesan sebesar 2.103 liter dengan jumlah pemesanan sebanyak 37 kali per tahun dan total biaya persediaan sebesar Rp.208.795.206,13409,-sedangkan bila menggunakan metode EOQ jumlah pemesanan nya sebesar 2.240 liter dengan jumlah pemesanan sebanyak 34 kali per tahun dan total biaya persediaan nya sebesar Rp.208.376.510,19248,-.Jadi didapatkan selisih biaya dari kebijakan perusahaan bila menggunakan metode EOQ yaitu sebesar Rp. 418.695,94161 pada tahun 2022-2023
Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction Raja Ayu Mahessya; Dian Eka Putra; Rostam Ahmad Efendi; Rayendra; Rozi Meri; Riyan Ikhbal Salam; Dedi Mardianto; Ikhsan; Ismael; Arif Rizki Marsa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6606

Abstract

Post-operative kyphosis represents a significant complication following pediatric spinal corrective surgery, necessitating sophisticated prediction methods to identify high-risk patients. This study developed and evaluated machine learning models for kyphosis prediction using a dataset of 81 pediatric patients by comparing the logistic regression and decision tree approaches. Despite achieving a higher overall accuracy (82%), the logistic regression model failed to identify any kyphosis cases, rendering it clinically ineffective. Conversely, the decision tree model demonstrated superior clinical utility by successfully identifying 33% of kyphosis cases while maintaining 71% accuracy. Feature importance analysis established starting vertebral position as the dominant predictor (importance=0.554), followed by patient age (0.416), with vertebrae count contributing minimally (0.030). The decision tree identified critical thresholds for risk stratification: operations beginning at or above T8-T9, particularly in children aged 5-9 years, carried a substantially elevated kyphosis risk. Our methodological approach emphasizes sensitivity over conventional accuracy metrics, recognizing that missing high-risk patients have greater clinical consequences than unnecessary monitoring. This study demonstrates the capacity of decision tree models to extract clinically meaningful patterns from small, imbalanced surgical datasets that elude conventional statistical approaches.
PENGARUH PENGAWASAN DAN KOMPENSASI FINANSIAL TERHADAP PRODUKTIVITAS KERJA (Pada Karyawan UPTD Pengelolaan Pendapatan Daerah di Kabupaten Padang Pariaman) Kartini; Mardianto, Dedi; Rafikar. T,, Rahmad
Jurnal Ilmiah Manajemen dan Kewirausahaan Vol. 2 No. 1 (2023): Januari: Jurnal Ilmiah Manajemen dan Kewirausahaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jimak.v2i1.1469

Abstract

Produktivitas kerja merupakan suatu kaitan antara output yakni hasil kerja dengan waktu yang dibutuhkan untuk menghasilkan produk/jasa oleh seorang tenaga kerja. Produktivitas merupakan salah satu ukuran yang sering dipakai, sebuah organisasi tidak akan dapat berkembang apabila produktivitas kerja karyawannya juga tidak mengalami peningkatan apalagi dengan semakin tingginya tingkat persaingan saat ini. Penelitian ini bertujuan untuk menganalisis pengaruh pengawasan dan kompensasi finansial terhadap produktivitas kerja pada karyawan UPTD Pengelolaan Pendapatan Daerah di Kabupaten Padang Pariaman. Objek dalam penelitian ini adalah seluruh pegawai UPTD PPD Kabupaten Padang Pariaman. Metode analisis data menggunakan analisis deskriptif dan analisis regresi linear berganda. Berdasarkan hasil analisis regresi berganda diperoleh formulasi Y = -3,892 + 0,435 X1 + 0,625 X2. Hasil penelitian secara parsial variabel pengawasan (X1) dengan nilai sig t (0,001) dan kompensasi finansial (X2) dengan nilai sig t (0,000) berpengaruh signifikan terhadap produktivitas kerja (Y). Secara simultan variabel pengawasan dan kompensasi berpengaruh signifikan terhadap produktivitas kerja, diperoleh nilai f hitung sebesar 100,694 dengan tingkat signifikansi 5% (0,000 < 0,05). Uji koefisien determinasi dengan nilai R2 sebesar 87,30%, sisanya 12,70% dipengaruhi oleh faktor-faktor lain yang tidak masuk dalam penelitian ini. Berdasarkan hasil penelitian pengawasan dan kompensasi mempunyai pengaruh dalam peningkatan produktivitas kerja karyawan. Oleh karena itu kedua hal tersebut perlu diperhatikan oleh pimpinan dalam rangka peningkatan produktivitas
An Empirical Evaluation of ChatGPT as an Automated Machine Learning Code Generator for Image Classification Dedi Mardianto; Milla Apriliana; Eva Oktavia; Ideva Gaputra; Widya Wahyuni
Journal of Systems Engineering and Information Technology (JOSEIT) Vol 4 No 2 (2025): September 2025
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/joseit.v4i2.7174

Abstract

The emergence of large language models such as ChatGPT has created unprecedented opportunities for automating software development processes, particularly within the machine learning domain. This study aims to empirically evaluate the effectiveness of ChatGPT in generating machine learning code for image classification tasks using the Keras framework. The research employs an experimental methodology utilizing the MNIST dataset, comprising 70,000 handwritten digit images. A systematic series of experiments was conducted through progressive prompting strategies, ranging from basic model construction to comprehensive evaluation protocols. The findings demonstrate that ChatGPT successfully generated 100% executable code without errors, with the resulting models achieving 99% accuracy on the test dataset. A notable discovery emerged in the form of "intelligent deviation" phenomena, wherein ChatGPT autonomously provided Convolutional Neural Network (CNN) architectures despite explicit requests for fully connected layers, demonstrating sophisticated contextual understanding. The generated code quality met professional standards with robust multi-library integration capabilities. This research provides the first systematic empirical contribution regarding large language model capabilities in machine learning code generation, offering significant implications for democratizing artificial intelligence technology access within educational and research contexts.
Pengaruh Gaya Hidup dan Literasi Keuangan Terhadap Perilaku Pengelolaan Keuangan Pribadi Mardianto, Dedi; Afrianti, Rini; Nanda, Tyara
Jurnal Pustaka Manajemen (Pusat Akses Kajian Manajemen) Vol 4 No 1 (2024): Jurnal Pustaka Manajemen
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamanajemen.v4i1.737

Abstract

Rendahnya pengelolaan keuangan mahasiswa karena kurangnya kesadaran literasi keuangan yang dipengaruhi gaya hidup boros. Mahasiswa seharusnya mampu mengatur dan mengelola keuangan secara mandiri dan bertanggungjawab. Tujuan penelitian untuk mengetahui pengaruh gaya hidup dan literasi keuangan terhadap pengelolaan keuangan pribadi mahasiswa Fakultas Ekonomi UNISBAR. Penelitian ini penelitian kuantitatif menggunakan angket. Sampel yang digunakan 91 orang mahasiswa Fakultas Ekonomi UNISBAR menggunakan teknik random sampling dengan metode probability sampling. Rumus yang digunakan dalam pengambilan data yaitu slovin dengan tingkat erorr 10%. Teknik analisis data yang digunakan analisis deskriptif dan regresi linier berganda. Hasil penelitian yaitu gaya hidup berpengaruh tetapi tidak signifikan terhadap pengelolaan keuangan pribadi mahasiswa Fakultas Ekonomi UNISBAR, literasi keuangan berpengaruh secara signifikan terhadap pengelolaan keuangan pribadi mahasiswa Fakultas Ekonomi UNISBAR. Sedangkan gaya hidup dan literasi keuangan berpengaruh secara simultan terhadap pengelolaan keuangan pribadi mahasiswa Fakultas Ekonomi UNISBAR.
STRATEGI PEMBELAJARAN TIPE ROTATING QUARTET EXCHANGE: SUATU UPAYA PENINGKATAN HASIL BELAJAR MATEMATIKA SISWA Syahrial; Deby Handayani; Dedi Mardianto
Jurnal Point Equilibrium Manajemen dan Akuntansi Vol. 3 No. 1 (2021): Jurnal Point Equilibrium Manajemen dan Akuntansi
Publisher : Universitas Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59963/jpema.v3i1.10

Abstract

Penelitian ini didasari atas rendahnya hasil belajar siswa. Faktor yang mempengaruhinya adalahpembelajaran masih didominasi oleh Guru, dan siswa kurang diberi kesempatan melakukansesuatu selain mencatat, mendengar serta menyatakan informasi dengan kalimat mereka sendiri.Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh strategipembelajaran aktif tipe rotating quartet exchange terhadap hasil belajar matematika siswa padaranah kognitif. Jenis penelitian ini yaitu pra eksperimen dan rancangan penelitian yangdigunakan adalah randomized control group only design.Berdasarkan tes akhir hasil belajar diperoleh rata-rata hasil belajar matematika pada kelaseksperimen 83,68 dan rata-rata hasil belajar matematika kelas kontrol 72,13. Hasil analisa uji- t diperolehthitung = 3,58 dan ttabel = 1,67 pada taraf nyata 0,05. Disimpulkan thitung > ttabel menerima hipotesis alternatif(H1) yaitu hasil belajar matematika siswa kelas eksperimen lebih baik dibandingkan kelas kontrol, artinyapembelajaran aktif tipe rotating quartet exchange berpengaruh terhadap hasil belajar siswa.
PENGARUH ORIENTASI PASAR DAN INOVASI PRODUK TERHADAP KINERJA PEMASARAN KERAJINAN PADA SULAMAN INDAH MITRA DI DESA NARAS 1 KOTA PARIAMAN Nurtati; Febriani Fitri; Dedi Mardianto
Jurnal Point Equilibrium Manajemen dan Akuntansi Vol. 3 No. 1 (2021): Jurnal Point Equilibrium Manajemen dan Akuntansi
Publisher : Universitas Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59963/jpema.v3i1.16

Abstract

This type of research is descriptive and quantitative, because this research is used to provide an objective description or description of a situation. This study aims to see the effect of market orientation on marketing performance, the effect of product innovation on marketing performance and to see the effect of market orientation and product innovation on marketing performance. This research was conducted in the form of interviews and questionnaires. The population in this study were all women in Naras 1 village, amounting to 593 people for the age group 25 to 59 years. The sample in this study were 59 people, where the sampling technique used accidental sampling method. This study uses hypothesis testing. The results of this study indicate that partially market orientation has no significant effect on marketing performance because the value of thit <ttab (1.303 <1.6715) and product innovation has a significant effect on marketing performance because thit> ttab (8.132 > 1.6715). Meanwhile, simultaneously market orientation and product innovation have a significant effect on marketing performance because fhit> ftab (37.685> 1.6715). Based on the results of the Determination (R2) test, the contribution of the independent variables of Market Orientation (X1) and Product Innovation (X2) to Marketing Performance (Y) is 57.4%, This shows that the influence between the two variables is very strong because the greater the Rsquare number the stronger the effect between the two variables.
Co-Authors Amanah, Fisa Andrianto Andrianto Arif Rizki Marsa Deby Handayani Desmita, Yelda Dian Eka Putra Eka Putra, Dian Eva Oktavia Febriani Fitri Ideva Gaputra Ikhbal Salam, Riyan Ikhsan Ismael KARTINI Milla Apriliana Nanda, Tyara Nichy Oktaviani Novi Yanti Nurtati Nurtati Nurtati, Nurtati Patria Nagara Putri, Noni Sartika Rafikar. T,, Rahmad Raja Ayu Mahessya Rayendra Rini Afrianti Ronal Watrianthos Rostam Ahmad Efendi Rozi Meri Saputra, Edriagus Sembiring, Rinawati Sri Wahyuni, Widya Syahrial Syofria Meidona Vratiwi, Septiana Widya Wahyuni Yelda Desmita Yuhefizar Yuhefizar Zaki Zaki