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All Journal Trikonomika: Jurnal Ekonomi JAIS (Journal of Applied Intelligent System) Jurnal Ilmu Komputer dan Bisnis Jurnal Teknik Informatika (JUTIF) Tedc Journal of Economics, Accounting, Tax and Management Ramatekno
Gerinata Ginting
Fakultas Pascasarjana Universitas Pasundan, Bandung
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary

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 1 
Determinan Profitabilitas Bank: Suatu Studi pada Bank yang Terdaftar di BEI Suteja, Jaja; Ginting, Gerinata
Jurnal Trikonomika Vol 13, No 1 (2014): Juni 2014
Publisher : Jurnal Trikonomika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk memberikan bukti empiris pengaruh non interest income, non interest expense, loan loss provisions, equity, total assets, GDP, market capitalization terhadap ROA. Populasi penelitian adalah 20 perusahaan perbankan yang terdaftar di Bursa Efek Indonesia selama periode penelitian tahun 2003–2011. Data dianalisis menggunakan regresi berganda. Berdasarkan hasil pengujian disimpulkan bahwa non interest income, non interest expense, loan loss provisions, equity, total assets, GDP, market capitalization berpengaruh signifikan terhadap ROA.
Rancang Bangun Mesin Penetas Telur Kapasitas 60 Butir Berbasis Arduino Uno Menggunakan Sensor DHT 11 Ramdani, Rizki; Saleh, Agus; Ginting, Gerinata; Hellena, Lovenia
JURNAL RAMATEKNO Vol 4 No 1 (2024): Ramatekno_Vol_4_No_1
Publisher : LPPM Politeknik Enjinering Indorama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61713/jrt.v4i1.163

Abstract

Penelitian ini bertujuan untuk merancang dan membuat suatu mesin penetas telur dengan kapasitas 60 butir. Mesin dibagi menjadi 3 bagian utama yaitu; bagian rangka, bagian program dan bagian kelistrikan. Pada tahap perancangan rangka yaitu menggunakan software Solidworks. Material rangka yang digunakan yaitu baja siku berdimensi 30 x 30 x 3 mm. Proses pembuatan bagian rangka melibatkan proses pemotongan dan pengelasan. Pada bagian program, perancangan program bertujuan untuk mengatur kondisi kerja di dalam mesin. Adapun parameter-parameter yang diatur diantaranya; suhu, kelembaban dan pergerakan telur di dalam mesin. Alat-alat ukur yang digunakan yaitu sensor DHT 11 yang digunakan untuk mengukur suhu dan kelembaban, juga RTC DS 3231 yang digunakan untuk mengukur waktu. Program menggunakan bahasa pemrograman C dan menggunakan software Arduino IDE. Penggunaan arus listrik yang diperlukan berdasarkan hasil pengujian yaitu; mesin membutuhkan daya standby 29 watt atau memerlukan konsumsi energi sebesar 14,616 kWh dalam 21 hari.
Smart Waste Management and Recycling Based on IoT using Machine Learning Algorithm Ginting, Gerinata; Apnena, Riri Damayanti
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 2 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i2.10766

Abstract

Smart waste management and recycling have become critical issues in urban planning and environmental sustainability due to the increasing volume of waste generated by modern societies. In this study, we investigated the performance of Support Vector Machine (SVM) and Neural Network (NN) methods in an Arduino-based waste sorting system. Our testing phase revealed exceptional performance, with SVM achieving an accuracy of 92% and NN achieving 96%, alongside perfect precision, recall, and F1-score metrics. The consistent True Positive (TP) results across all waste categories underscored the system's capability to accurately direct waste into correspondingcolored bins. These findings highlight the significance of automated waste management systems in promoting effective waste sorting practices and facilitating sustainable recycling efforts. Moreover, advancements in technology and machine learning algorithms offer promising prospects for further enhancing the efficiency and scalability of such systems, thereby contributing to a cleaner and healthier environment for future generations. Future research in smart waste management could focus on exploring additional machine learning algorithms, advanced sensor technologies, and Internet of Things integration. Investigating alternative algorithms beyond SVM and NN, adopting advanced sensors like hyperspectral imaging or lidar, and incorporating IoT devices for real-time monitoring could enhance waste sorting accuracy and scalability.
Comparative Analysis of Supervised Learning Algorithms for Delivery Status Prediction in Big Data Supply Chain Management Apnena, Riri Damayanti; Ginting, Gerinata; Sudrajat, Ari; Islam, Hussain Md Mehedul
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4689

Abstract

This study addresses the problem of predicting delivery status in supply chain data, a critical task for optimizing logistics and operations. The dataset, which includes multiple features like order details, product specifications, and customer information, was pre-processed using oversampling to address class imbalance, ensuring that the model could handle rare cases of late or canceled deliveries. The data cleaning process involved handling missing values, removing irrelevant columns, and transforming categorical variables into numerical formats. After pre-processing and cleaning, five machine learning models were applied: Logistic Regression, Random Forest, SVM, K-Nearest Neighbors (KNN), and XGBoost. Each model was evaluated using metrics such as accuracy, precision, recall, and F1-score. The results showed that XGBoost outperformed the other models, achieving the highest accuracy and providing the most reliable predictions for the delivery status. This makes XGBoost the best choice for supply chain data analysis in this context. This study contributes to the growing application of machine learning in supply chain optimization by identifying XGBoost as a robust model for delivery status prediction in large datasets. For future research, exploring hybrid models and advanced feature engineering techniques could further improve prediction accuracy and address additional challenges in supply chain optimization, especially in the context of real-time data processing and dynamic supply chain environments.  
Sistem Informasi Persediaan Barang Jadi pada PT. SAP Berbasis Desktop Octanza, Tahta Rizaldi; Sudrajat, Ari; Ginting, Gerinata
Journal of Economics, Accounting, Tax, and Management (JECATAMA) Vol 3 No 2 (2024): JECATAMA
Publisher : Unit Penelitian dan Pengabdian kepada Masyarakat Politeknik TEDC Bandung Jl. Pesantren Km 2 Cibabat Cimahi Utara, Cimahi 40513 Jawa Barat, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70428/jecatama.v3i2.915

Abstract

The aim of this research is to carry out a series of stages starting from analyzing, designing, implementing and testing the Finished Goods Inventory Information System at PT. SAP. The research method used is the waterfall method and the analysis used is PIECES analysis, with system testing using black-box testing. The programming language used is Microsoft Visual Visual Studio with Microsoft Access as the database. It is known that the resulting inventory information system is a system solution that has been running previously, the recording process of which is still semi-computerized using Microsoft Excel so that the inventory data processing process is not appropriate. Based on the results of the information system that has been created, it can be concluded that, with a computerized and integrated database system, it can help and make it easier for warehouse admins to input goods data, incoming goods data and outgoing goods data that occur at PT. SAP, minimizes errors and makes data input easier. Based on the overall calculation of the (UAT) User Acceptance Test by the user, the system testing using Black-box received an assessment of 91.43% which was categorized as Very Good.
IMPLEMENTASI ALUR DIGITALISASI SCANNING DALAM KEGIATAN REKAM MEDIS ELEKTRONIK DI INSTALASI GAWAT DARURAT (IGD) RSUD AL-IHSAN PROVINSI JAWA BARAT Rahayu, Ayu Hendrati; Ginting, Gerinata; Pitriani, Kania
Jurnal TEDC Vol 17 No 3 (2023): JURNAL TEDC
Publisher : UPPM Politeknik TEDC Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70428/tedc.v17i3.747

Abstract

Digitization of medical records is a process of switching converting medical record document media into digital documents using scanners. Digitization of medical records is one of the supports in implementing electronic medical records. RSUD Al-Ihsan West Java Province has digitized scanning of the medical record files for the Emergency Installation, which began in 2019. The purpose of this study was to determine the implementation of the digitalization scanning flow in electronic medical record activities at the Emergency Installation of RSUD Al-Ihsan, as well as the obstacles and effort in its process. The research method used is descriptive qualitative method with data collection techniques through observation, interviews and documentation. The subjects in this study were scanning department officers and the object used was the flow of digitizing scanning of medical record files. The results showed that 16% of activities were not in accordance with the digitization flow. There were obstacles, namely there were no fixed procedures, lack of human resources, it took more time to open the staples, dirty scanners, folded medical record files so the files are difficult to read, the scan results are not connected to the SIMRS and the computer's internal memory storage is limited. The efforts he has made are by making regular procedures, adding human resources, routine maintenance for equipment, and uploading scan results periodically to the SIMRS. Researchers suggest that it is increase research seen from the effectiveness of the workload in the digitalization flow process.
TINJAUAN KELENGKAPAN KODE DIAGNOSA PADA JURNAL PASIEN RAWAT INAP TAHUN 2020 GUNA MENUNJANG PELAPORAN RL 4A DI RUMAH SAKIT TK II DUSTIRA Monica, Rizqy Dimas; Pujilestari, Intan; Rahayu, Ayu Hendrati; Ginting, Gerinata
Jurnal TEDC Vol 17 No 2 (2023): JURNAL TEDC
Publisher : UPPM Politeknik TEDC Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70428/tedc.v17i2.707

Abstract

Berdasarkan studi pendahuluan yang dilakukan oleh penulis pada bulan Februari 2021, diambil dari sampel bulan Januari 2020 sebanyak 3.729 pasien dirawat inap dengan ketidaklengkapan kode diagnosa sebanyak 67 berkas dengan persentase 1,8%, ketidakakuratan kode diagnosa sebanyak 10 berkas dengan persentase 0,3%, dan ketidaktepatan waktu pelaporan sebanyak 67 berkas dengan persentase 1,8%. Tujuan penelitian ini adalah untuk mengetahui kelengkapan kode diagnosa pada jurnal pasien rawat inap tahun 2020 guna menunjang pelaporan rl 4a di Rumah Sakit TK II Dustira. Metode penelitian yang digunakan penulis adalah metode deskriptif dengan pendekatan kuantitatif. Hasil penelitian penulis dari sampel bulan Januari s/d Desember 2020 dengan total 23.006 sampel pasien rawat inap dengan jumlah hari perawatan sebanyak 89.800 hari. Dengan kelengkapan kode diagnosa pasien rawat inap yang terisi lengkap sebanyak 98%, keakuratan kode diagnosa pasien rawat inap sebanyak 99,85%, dan ketepatan waktu pelaporan pasien rawat inap sebanyak 98%, sehingga ketidaklengkapan kode diagnosa mempengaruhi ketepatan waktu pelaporan rl 4a pasien rawat inap tahun 2020. Kesimpulan dari penulis yaitu ketidaklengkapan kode diagnosa, ketidakakuratan kode diagnosa mempengaruhi ketepatan waktu pelaporan rl 4a pasein rawat inap tahun 2020, dimana masih terdapat ketidaklengkapan kode diagnosa mencapai diangka 500 berkas rekam medis. Kata kunci : Kelengkapan, Pelaporan RL 4a, Rawat Inap, Kode Diagnosa
Sistem Informasi Pembelian Dan Penjualan Pada Apotek Rahanur Farma Berbasis Dekstop Ginting, Gerinata; Kusumawati, Puspa Dewi
Jurnal Ilmu Komputer dan Bisnis Vol. 16 No. 2a (2025): Vol. 16 No. 2a Special Issue (2025)
Publisher : STMIK Dharmapala Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47927/jikb.v16i2a.1111

Abstract

Penelitian ini bertujuan untuk menganalisis, merancang, mengimplementasikan, dan menguji sistem informasi pembelian dan penjualan berbasis desktop pada Apotek Rahanur Farma. Permasalahan yang dihadapi apotek yaitu seluruh aktivitas usaha belum menerapkan sistem terkomputerisasi, dimana semua pencatatan transaksi penjualan, pembelian, dan pelaporan masih dilakukan secara manual. Metode pengembangan yang digunakan adalah waterfall dengan pengembangan sistem diawali dengan flowchart, diagram konteks, DFD, ERD, dan relasi antar tabel. Teknik analisis data menggunakan metode PIECES (Performance, Information, Economy, Control, Efficiency, and Services). Hasil penelitian menunjukkan bahwa sistem informasi berbasis desktop dapat mempermudah proses pengolahan data penjualan dan pembelian serta memberikan integrasi dalam pelaporan data transaksi secara menyeluruh. Sistem ini diharapkan dapat meningkatkan efisiensi operasional dan mempercepat proses kerja pengolahan data di Apotek Rahanur Farma.
Sistem Informasi Penerimaan dan Pengeluaran Pada Apotek Rahanur Farma Berbasis Dekstop Ginting, Gerinata; Jefriasnyah, Wawan
Jurnal Ilmu Komputer dan Bisnis Vol. 16 No. 2a (2025): Vol. 16 No. 2a Special Issue (2025)
Publisher : STMIK Dharmapala Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47927/jikb.v16i2a.1112

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem informasi penerimaan dan pengeluaran kas berbasis desktop pada Apotek Rahanur Farma. Permasalahan yang diidentifikasi adalah ketergantungan pada metode manual dalam pencatatan transaksi kas yang berpotensi menyebabkan kesalahan, keterlambatan laporan, dan kesulitan pemantauan arus kas secara real-time. Metode penelitian menggunakan pendekatan Waterfall dengan tahapan analisis, desain, pengkodean, pengujian, dan pemeliharaan. Pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi untuk data primer, serta studi kepustakaan untuk data sekunder. Hasil penelitian berupa implementasi sistem yang mencakup beberapa fitur utama seperti pengelolaan akun, pencatatan penerimaan kas, pencatatan pengeluaran kas, dan pembuatan laporan keuangan terintegrasi. Pengujian sistem menunjukkan bahwa seluruh fitur berfungsi dengan baik (valid). Kesimpulannya, sistem informasi berbasis desktop yang dikembangkan berhasil memenuhi kebutuhan Apotek Rahanur Farma dalam mengelola penerimaan dan pengeluaran kas secara efisien, akurat, dan terstruktur, sehingga dapat mendukung pengambilan keputusan yang lebih tepat bagi pengembangan bisnis apotek.
Co-Authors Apnena, Riri Damayanti Ari Sudrajat Hellena, Lovenia Islam, Hussain Md Mehedul Jaja Suteja Jefriasnyah, Wawan Kusumawati, Puspa Dewi Monica, Rizqy Dimas Octanza, Tahta Rizaldi Pitriani, Kania Pujilestari, Intan Rahayu, Ayu Hendrati Ramdani, Rizki Saleh, Agus