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All Journal Teknika AUSTENIT Jurnal Informatika Jurnal Informatika Scientific Journal of Informatics INOVTEK Polbeng - Seri Informatika Jurnal Teknologi Informasi dan Terapan (J-TIT) Journal of Applied Health Management and Technology Jurnal Pengabdian Nasional TIERS Information Technology Journal Unram Journal of Community Service (UJCS) Batara Wisnu : Indonesian Journal of Community Services Indonesian Accounting Literacy Journal Proceeding Applied Business and Engineering Conference Jurnal Ilmu Komputer, Sistem Informasi, Teknik Informatika (JILKOMSITI) ROUTERS: Jurnal Sistem dan Teknologi Informasi Jurnal Ilmiah ESAI West Science Social and Humanities Studies Riau Jurnal Teknik Informatika Journal of Software Engineering And Technology Jurnal Informatika dan Rekayasa Perangkat Lunak
Kurniawan Saputra
Politeknik Negeri Lampung
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The Effect of IoT Technology, Real-Time Analytics, and Digital Asset Management on Energy Efficiency and Productivity in Indonesia's Manufacturing Industry Setiawan, Dwi; Nugroho, Budi Sulistiyo; Nurrahman, Arif; Hamid, Farid Alfalaki; Saputra, Kurniawan
West Science Social and Humanities Studies Vol. 2 No. 06 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i06.977

Abstract

This research investigates the impact of IoT (Internet of Things) technology, real-time analytics, and digital asset management on energy efficiency and productivity in the Indonesian manufacturing industry. A quantitative approach, employing structural equation modeling (SEM) with Partial Least Squares (PLS) 3 software, is utilized to analyze survey data collected from manufacturing firms across different sectors and sizes in Indonesia. The results reveal significant positive relationships between digital technologies (IoT, real-time analytics, digital asset management) and energy efficiency/productivity. Specifically, Digital Asset Management, IoT Technology, and Real-Time Analytics are found to have statistically significant effects on enhancing energy efficiency and productivity levels in Indonesian manufacturing operations. These findings underscore the transformative potential of digital technologies in driving operational performance and sustainability in the manufacturing sector. Policymakers, industry stakeholders, and practitioners can leverage these insights to inform strategic decision-making and investments in digital infrastructure, workforce development, and regulatory frameworks to foster innovation and competitiveness in the Indonesian manufacturing landscape.
PENGGUNAAN METODE VIKOR UNTUK MEMBANTU MENENTUKAN KEPUTUSAN DALAM SELEKSI BEASISWA Fitra, Jaka; Saputra, Kurniawan
Journal of Software Engineering and Technology. Vol 3, No 1 (2023): SEAT: Journal Of Software Engineering and Technology
Publisher : Institut Teknologi dan Bisnis Diniyyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69769/seat.v3i1.80

Abstract

Beasiswa diartikan sebagai bantuan finansial yang diberikan kepada mahasiswa yang berprestasibaik dibidang akademik maupun non-akademik dan mahasiswa yang mengalami keterbatasan ekonomi. Seleksi penerima beasiswa masih dilakukan secara konvensional yaitu dilakukan oleh karyawan dan keputusan pembuat dalam hal ini dilakukan oleh Kepala perguruan tinggi,  seleksi secara konvensional sangat dipengaruhi waktu yang terbatas dan dilakukan oleh karyawan yang merangkap pekerjaan lain,  sehingga faktor Subjektivitas dalam pengambilan keputusan sangat besar. Seleksi beasiswa yang dilakukan seacara konvensional, memiliki kelemahan yaitu dalam melakukan seleksi dengan menggunakan banyak orang, sehingga dapat menimbulkan kesalahan dan ketidak konsistenan penilaian. Penulis menggunakan metode VIKOR sebagai perangkingan penentuan penerima beasiswa. Metode VIKOR adalah metode Multi-Criteria Decision Making (MCDM) yang bisa digunakan untuk memilih lebih dari satu kriteria. Hasil penelitian menunjukkan bahwa metode VIKOR dapat membantu proses seleksi dan menentukan penerima beasiswa. Selain itu, metode VIKOR bisa membuat peringkat kompromi alternatif dari sejumlah alternatif yang ada. Hasil penelitian menunjukkan bahwa VIKOR dapat diaplikasikan di program studi sebagai metode membantu pengambilan keputusan, metode VIKOR dapat membantu proses seleksi penerima beasiswa yang tepat. Selain itu, metode VIKOR bisa dapat melakukan pengurutan pemeringkatan sebagai alternatif kompromi dari sejumlah alternatif yang ada.
Assistance For MSMES in The Adoption of Digital Marketing of Local Food Products Sutarni, Sutarni; Berliana, Dayang; Saputra, Kurniawan; Fitriani, Fitriani
Unram Journal of Community Service Vol. 5 No. 4 (2024): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i4.741

Abstract

One of the agro-industry players in processed food products in Punggur District, Central Lampung Regency, Lampung Province, is KWT Canala. KWT in Punggur Regency merged into an organization called the KWT forum of Punggur Regency. The application of digital marketing technology in KWT in Punggur District, Central Lampung Regency is;  The application of the internet is still very limited, this is due to the low skills of internet applications that can be used in business. The low use of digital media in business is caused by incompetent expertise in using the internet, social media, marketplaces, and product promotion.  Therefore, it is necessary to provide assistance to KWT members in implementing digital marketing so that sales volume increases. This program aims to provide assistance to MSMEs in Punggur Regency related to the manufacture of attractive labels and packaging that are able to compete in the market as well as the application of digital marketing in improving the performance of local food product businesses so that it can increase KWT's sales volume and revenue. The methods used are lectures, discussions and demonstrations through pre-activity activities (permit management, consolidation), exercises and demonstrations, development and evaluation of online stores (initial evaluation, process evaluation and evaluation of results or sustainability impacts). The result of this program is to improve the knowledge and skills of MSME managers in Punggur District about making labels, packaging and the use of digital marketing for products to be produced. 
RANCANG BANGUN PROTOTYPE PRESS TOOL PEMOTONG SIDE RUBBER SEBAGAI KOMPONEN CHUTE DENGAN SISTEM HIDROLIK Sundari, Ella; Asrafi, Ibnu; Prabudi, Darma; Kurniawan, Dede; Saputra, Kurniawan; Nopriansyah, Agi
AUSTENIT Vol. 7 No. 2 (2015): AUSTENIT: Oktober 2015
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (860.849 KB)

Abstract

Press tool adalah alat bantu yang digunakan untuk membentuk/memotong produk dari bahan dasar lembaran yang pengoperasiannya menggunakan mesin press. Pada saat ini, proses pemotongan side rubber yang ada di lapangan masih dilakukan secara manual dengan menggunakan tenaga kerja untuk melakukan pengukuran, pengeplongan dan pemotongan dari  rubber sheet. Dari hasil penelitian didapatkan bahwa gaya potong maksimum dari press tool yang dihasilkan sebesar 6646,53 kgf dan power hidrolik yang digunakan sebesar 8357,9 kgf. Kapasitas produksi dari press tool yaitu dapat menghasilkan 1 pola dalam waktu 40,8 detik atau sekitar 88 pola side rubber dalam waktu 1 jam. Ukuran pola side rubber yang dihasilkan dengan pengerjaan menggunakan alat bantu press tool lebih presisi dibandingkan dengan pengerjaan manual. Analisa kontrol kualitas dari side rubber dilakukan dengan menggunakan statistik, dimana didapatkan bahwa nilai pengukuran panjang dan tinggi yang dihasilkan dari pengujia masih berada diantara nilai Batas Kontrol Atas dan Batas Kontrol Bawah sehingga hasil pengerjaan masih bisa dianggap baik dan mesin dapat digunakan untuk proses produksi selanjutnya.
THE ROLE OF DCM4CHEE AS AN OPEN SOURCE PACS IN THE RADIOLOGY DEPARTMENT OF PRIMAYA HOSPITAL SEMARANG Nuha, M. Dzawin; Wibowo, Gatot Murti; Setjadiningra, Rr. Lydia Purna Widyastuti; Saputra, Kurniawan; Puspita, Mega Indah; Pranandya, Brian Ilham
Journal of Applied Health Management and Technology Vol. 6 No. 1 (2024): April 2024
Publisher : Postgraduate Program , Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jahmt.v6i1.10886

Abstract

This research explores the potential use of DCM4CHEE as an open-source Picture Archiving and Communication System (PACS) that is highly flexible for development in the current era. Despite being open source, DCM4CHEE has proven to be effective and reliable in healthcare settings, particularly in radiology department. Primaya Hospital Semarang has successfully implemented DCM4CHEE as an integrated archive system directly connected to CT Scan and Conventional X-Ray modalities. Direct observations were conducted over a significant period at the radiology installation of Primaya Hospital Semarang, which utilizes DCM4CHEE. This provided direct insights into how the system is implemented and used in practical situations. Furthermore, in-depth interviews were conducted with radiographers to gain their perspective on the experience of using DCM4CHEE. The research results indicate that the use of DCM4CHEE contributes positively in various aspects, including user-friendly operation, adequate utility, workflow improvement, and cost savings in healthcare services. The implementation of this software not only aids in the efficient management of radiological data but also reduces dependence on traditional filming systems, supporting the transition towards a paperless workflow. In conclusion, DCM4CHEE is reliable and highly beneficial in the context of healthcare services. Its adaptability allows seamless integration with Hospital Information Systems (HIS) and Radiology Information Systems (RIS), enhancing overall interoperability and efficiency. This research provides a foundation for recommending the use of DCM4CHEE as a customizable PACS solution that can positively contribute to improving the quality of radiology services in various healthcare department.
Development of an IoT-Based Chicken Manure Management System Prototype for Efficiency and Sustainability Bambang; Simanjuntak, Henry; Widyastuti, Akni; P, Panji; Saputra, Kurniawan; Jaya, Tri Sandhika
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 4 (2025): Volume 6 Number 4 Desember 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i4.876

Abstract

Increasing the production scale of laying hen farms results in significant manure waste, thus posing challenges to animal and human health, as well as environmental quality. To address these issues, this study aims to develop a prototype of an Internet of Things (IoT)-based multilevel manure management system to improve operational efficiency and support farm sustainability. The study used a method that included needs analysis, design, implementation, and testing with a blackbox testing approach. The system was designed using the DS3231 RTC module for automatic scheduling, the MQ2 sensor for air quality detection, the ESP8266 microcontroller as the control center, the BTS7960 driver as the current regulator, and the DC motor and conveyor as actuators that drive manure removal, with monitoring results displayed on the LCD. The test results showed that all components functioned as designed: the RTC was able to execute the schedule on time, the MQ2 sensor detected the gas threshold accurately, the ESP8266 processed data and sent instructions properly, the BTS7960 delivered a stable current, the DC motor and conveyor worked according to the set duration. This study provides practical implications for modern farm management through the application of the environmentally friendly smart farming concept.
Hybrid Machine Learning Approach for Nutrient Deficiency Detection in Lettuce Zuriati, Zuriati; Widyawati, Dewi Kania; Arifin, Oki; Saputra, Kurniawan; Sriyanto, Sriyanto; Ahmad, Asmala
TIERS Information Technology Journal Vol. 6 No. 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i2.7143

Abstract

Early detection of nutrient deficiencies in lettuce is essential for precision agriculture. However, this task remains challenging due to limited data availability and class imbalance, which reduce model sensitivity toward minority classes and hinder generalization. This study introduces a hybrid machine learning approach integrating SMOTE, Optuna, and SVM to enhance the accuracy of nutrient deficiency classification using digital leaf image analysis. The dataset, obtained from Kaggle, includes four categories: Nitrogen Deficiency (-N), Phosphorus Deficiency (-P), Potassium Deficiency (-K), and Fully Nutritional (FN). Image features were extracted using MobileNetV2 pretrained on ImageNet and classified with a Support Vector Machine. Three scenarios were tested: (1) SVM before SMOTE, (2) SVM after SMOTE, and (3) Optuna-SVM after SMOTE, evaluated using accuracy, precision, recall, and f1-score. The hybrid model achieved the best performance with accuracy 0.929, precision 0.946, recall 0.835, and f1-score 0.869, outperforming the other scenarios. This hybrid framework effectively addressed class imbalance and improved classification margin stability through adaptive hyperparameter tuning using the Tree Structured Parzen Estimator within Optuna. The novelty of this study lies in combining MobileNetV2 based feature extraction with SMOTE and Optuna-SVM for small agricultural datasets. The proposed approach offers an efficient, accurate, and practical solution for automated nutrient deficiency diagnosis and contributes to the development of AI-driven smart agriculture systems.
Co-Authors - Nurmala - Nurmala Ade Irma Rilyani Ahmad Syarief, Ahmad Ahmad, Asmala Andhika Pratomo, Panji Arifin, Oki Asrafi, Ibnu Asrowardi, Imam Bambang Darma Prabudi Dayang Berliana Dede Kurniawan Dita Novita Sari, Dita Dwi Setiawan Dwirgo Sahlinal Dwirgo Sahlinal, Dwirgo Fitra, Jaka Fitriani Fitriani Gatot Murti Wibowo, Gatot Murti Halim Fathoni, Halim Hamid, Farid Alfalaki Jaya, Tri Sandika Mochammad Yusman Muhammad Farhan, Farhan Nopriansyah, Agi Nugroho, Budi Sulistiyo Nuha, M. Dzawin Nurrahman, Arif Oki Arifin P, Panji Pranandya, Brian Ilham Pratomo, Panji Pratomo, Panji Andhika Puspita, Mega Indah Putra, Rizky Bimantara Rahsel, Yoeyong Ricco Herdiyan Saputra Rima Maulini Sahlinal, Dwrigo Sari, Dita Novita Setjadiningra, Rr. Lydia Purna Widyastuti Simanjuntak, Henry Sriyanto, Sriyanto Subyantoro, Eko Sundari, Ella Suprapto, Bambang Supriatna, Iyeh Sutarni, Sutarni Tri Sandhika Jaya Widyastuti, Akni Widyawati, Dewi Kania Yanti Rufaedah, Yanti Zuriati, Zuriati