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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 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
Kurniawan Saputra
Politeknik Negeri Lampung
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INTEGERASI METODE DESIGN THINKING SEBAGAI PENDEKATAN UI/UX PADA APLIKASI STUNTING KAB PRINGSEWU Andhika Pratomo, Panji; Sandhika Jaya, Tri; Saputra, Kurniawan; Maulini, Rima; Sahlinal, Dwrigo
JURNAL ILMU KOMPUTER, SISTEM INFORMASI, TEKNIK INFORMATIKA Vol 3 No 1 (2024)
Publisher : PT Akom Media Informatika

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

Abstract

Penelitian ini berfokus pada integrasi metode design thinking sebagai pendekatan UI/UX untuk pengembangan aplikasi penanggulangan stunting di Kabupaten Pringsewu. Stunting merupakan masalah kesehatan yang serius di Indonesia, termasuk di Kabupaten Pringsewu, yang mempengaruhi pertumbuhan fisik dan kognitif anak-anak. Tujuan utama penelitian ini untuk mengembangkan aplikasi yang tidak hanya fungsional tetapi juga mudah digunakan oleh masyarakat luas, khususnya para orang tua dan tenaga kesehatan. Metode design thinking diterapkan melalui lima tahap utama: empati, definisi, ide, prototipe dan pengujian. Pada tahap empati, dilakukan pengumpulan data melalui wawancara dan survei untuk memahami kebutuhan dan masalah utama yang dihadapi oleh pengguna. Tahap definisi digunakan untuk merumuskan permasalahan yang spesifik dan relevan berdasarkan temuan pada tahap empati. Selanjutnya, tahap ide berbagai solusi kreatif dihasilkan dan dipertimbangkan. Prototipe aplikasi kemudian dikembangkan berdasarkan ide-ide terpilih, yang selanjutnya diuji oleh calon pengguna untuk mendapatkan umpan balik. Hasil penelitian menunjukkan bahwa pendekatan design thinking mampu menghasilkan desain aplikasi yang intuitif dan responsif terhadap kebutuhan pengguna. Implementasi aplikasi ini diharapkan dapat berkontribusi secara signifikan dalam upaya penanggulangan stunting di Kabupaten Pringsewu, dengan meningkatkan kesadaran dan partisipasi aktif dari masyarakat dalam menjaga kesehatan anak-anak mereka.
Analisis Dan Perancangan Laporan Keuangan Berdasarkan Standar Akuntansi Keuangan Entitas Mikro, Kecil Dan Menengah (SAK EMKM) Pada UMKM Classyid.Thrift Saputra, Kurniawan; Syarief, Ahmad; Rufaedah, Yanti; Supriatna, Iyeh
Indonesian Accounting Literacy Journal Vol. 4 No. 2 (2024): Indonesian Accounting Literacy Journal (March 2024)
Publisher : Jurusan Akuntansi Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ialj.v4i2.3351

Abstract

This final project research was conducted at one of the Micro, Small and Medium Enterprises (MSMEs) Classyid.thrift located at Griya Mukti Asri Blok C16 no.10 RT03 RW05 Ds. Kedungdawa district. Kedawung Kab. Cirebon. This MSMEs is engaged in clothing, especially warm clothes. As long as this company is running, it has not carried out standardized bookkeeping. The standard used for MSMEs in Indonesia is the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). The research method used in this research is descriptive qualitative. Data collection techniques used in this study through observation, interviews, and documentation. The results of this study will be in the form of financial statements from MSMEs Classyid.thrift based on SAK EMKM which consists of statements of financial position, income statements, and notes to financial statements.
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 : Politeknik Kesehatan Kementerian Kesehatan 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.
Implementasi Desain UI/UX Pada Aplikasi Pembelajaran UMKM Dengan Media Video Berbasis Website Pada Siger Innovation Hub: Indonesia Muhammad Farhan, Farhan; Subyantoro, Eko; Saputra, Kurniawan
ROUTERS: Jurnal Sistem dan Teknologi Informasi Vol. 2 No. 1, Februari 2024 (Dalam Proses)
Publisher : Program Studi Teknologi Rekayasa Internet, Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/rt.v2i1.3290

Abstract

Micro, Small and Medium Enterprises (MSMEs) have an important role in a country's economy but often face challenges, especially the lack of access to information and training. Siger Innovation Hub as a business incubator institution offers an incubation class program to support MSMEs with the best government and mentor collaboration. The reality is that technical and time limitations often hinder participant participation and reduce interactivity in learning sessions. Based on the problems described, a solution was found, namely providing an incubation class website platform with a focus on UI/UX design. The method used in this design uses the Double Diamond method. Double Diamond begins with the discovery, definition, delivery, and development stages. UI/UX design for MSME learning applications with website-based video media on the Siger Innovation Hub will be able to make it easy for MSME participants to be able to study flexibly and get a website display that is easy to use, easy to understand and attractive to users.
Sistem Pengukur Tinggi Tanaman dengan Computer Vision dan Raspberry PI Putra, Rizky Bimantara; Saputra, Kurniawan
TEKNIKA Vol. 16 No. 1 (2022): Teknika Januari - Juni 2022
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13340892

Abstract

Kamera merupakan benda yang biasa digunakan dalam kehidupan sehari-hari untuk mengabadikan objek dalam benduk gambar secara langsung. Semakin berkembangnya zaman, spesifikasi kamera hampir menyerupai kepekaan mata manusia.Walaupun fungsi umum kamera untuk mengambil gambar, kamera juga dapat dimanfaatkan untuk mengolah citra. Salah satu contoh pemanfaatan kamera untuk mengolah citra dapat ditemui dalam pemantauan kondisi lalu lintas pada jalan raya. Pada proyek tugas akhir ini, penulis terinspirasi pada pengukuran tinggi tanaman yang biasanya dilakukan secara manual. Pengukuran tersebut memiliki kelemahan yaitu memerlukan waktu serta tenaga untuk mengukur menggunakan mistar ukur secara langsung. Penulis membuat proyek berjudul “Sistem Pengukur Tinggi Tanaman dengan Computer Vision dan Raspberry pi” dengan memanfaatkan metode pengolahan citra yaitu marker yang diprogram pada perangkat raspberry pi. Sistem ini menggunakan protokol OpenCV pada aplikasi Thonny Python dengan menggunakan bahasa python. Penggunaan hal tersebut sebagai pembuktian apakah kamera dapat digunakan untuk mengukur pertumbuhan tanaman yang disajikan dalam bentuk gambar secara real-time. Proyek ini dikembangkan menggunakan metode pengembangan sistem Enginnering.
Classification Of Nutrient Deficiency In Lettuce Plants (Lactuca Sativa ) Using Machine Learning Algorithm Zuriati , Zuriati; Widyawati, Dewi Kania; Saputra, Kurniawan; Arifin, Oki
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

Plants require appropriate nutrients or nutrients for their growth and development. Inappropriate nutrient levelscan interfere with the plant growth process, resulting in less-than-optimal harvest results. Therefore, it is very importantfor farmers to know the nutrient levels of their plants, neither excessive nor lacking. Identification of nutrient deficienciesin plants such as Lettuce (Lactuca Sativa) traditionally requires careful observation of the physical characteristics of theplant, which is often long-drawn out and stand in need of a high level of accuracy. Leaf color is often used as an indication,for example if it is pale or yellow it can indicate a lack of nitrogen or iron. This requires expertise and experience incultivation for lettuce cultivators. So, a tool is needed that can identify nutrient deficiencies accurately, quickly, and easily.This study aims to overcome this challenge, namely identifying nutrient deficiencies in lettuce plants. This approach utilizesmachine learning technology to distinguish four main classes of deficiencies, namely: nitrogen (N), phosphorus (P), andpotassium (K), as well as normal or healthy lettuce leaf conditions. The proposed research method consists of the followingstages: 1). Lettuce leaf image dataset collection, 2). Preprocessing dataset, 3). Implementation of machine learning usingthe Support Vector Machine (SVM) algorithm. In the implementation of SVM, experiments were carried out by applyingvarious SVM kernel spesifically: Linear, Polynomial, Radial Basis Function (RBF), and Sigmoid, 4). Evaluation of modelperformance. Model performance was evaluated by measuring its level of accuracy in classifying nutrient deficiencies inLettuce leaf image data. The results of the experiment showed that SVM with the RBF kernel had the best accuracy, namely:92%. The findings of this study provide valuable insights into the effectiveness of machine learning approaches inclassifying nutrient deficiencies in Lettuce plants. This study can help farmers to optimize their crop production moreefficiently and accurately.
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. 
Smart Farming: Optimalisasi Produksi Telur Ayam Petelur menggunakan Sistem Cerdas Monitoring Suhu dan Kelembaban Kandang Berbasis IoT Pratomo, Panji; Saputra, Kurniawan; Novita Sari, Dita; Rahsel, Yoeyong; Herdiyan Saputra, Ricco; Suprapto, Bambang; Simanjuntak, Henry
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3264

Abstract

Egg production of laying hens is influenced by various factors, including temperature, humidity, and the quality of the cage environment. The main problem in this study is the fluctuation of production due to changes in environmental conditions that are not optimal. This study aims to develop and implement a smart farming system based on the internet of things (IoT) that is able to optimize egg production of laying hens through automatic monitoring of cage temperature and humidity. The methods used include needs analysis, design, implementation and testing. The results showed that the accuracy of the system reached 80% which could maintain the cage environmental conditions within the optimal range, so that egg production increased from an average of 383.67 eggs per month to 390.33 eggs per month.
PELATIHAN PENGEMASAN DAN WEBSITE ARTIFICIAL INTELLIGENCE (AI) DALAM MENGEMBANGKAN UMKM PADA KOMUNITAS UMKM NATAR Pratomo, Panji Andhika; Saputra, Kurniawan; Jaya, Tri Sandika; Sahlinal, Dwirgo
Jurnal Pengabdian Nasional Vol 6 No 1 (2025)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jpn.v5i2.4229

Abstract

Pengembangan Usaha Mikro, Kecil dan Menengah (UMKM) di Indonesia menjadi fokus utama dalam upaya memperkuat perekonomian nasional. Komunitas UMKM Natar, yang terdiri daripara pengusaha di berbagai sektor menghadapi berbagai permasalahan utama, termasuk aspekpemasaran, manajemen, dan pengelolaan sumber daya manusia. Tujuan dari kegiatan pengabdiankepada masyarakat ini adalah memberikan sosialisasi, pelatihan dan pendampingan kepadaKomunitas UMKM Natar dalam hal transformasi digital serta peningkatan keterampilan manajemenpemasaran produk melalui pengelolaan website dan pengembangan desain pengemasan produkmenggunakan teknologi Artificial Intelligence (AI). Melalui kegiatan ini, para pelaku UMKMmemperoleh pengetahuan dan keterampilan dalam mengelola usaha mereka secara lebih efektifdengan penerapan teknologi digital.Kata kunci: AI, digital, pengemasan, UMKM, website
PELATIHAN PENINGKATAN PRODUKTIVITAS DAN PEMASARAN TELUR MENGGUNAKAN SISTEM PEMANTAUAN CERDAS Rahsel, Yoeyong; Sari, Dita Novita; Saputra, Kurniawan; Pratomo, Panji Andhika
Batara Wisnu : Indonesian Journal of Community Services Vol. 5 No. 3 (2025): Batara Wisnu | September - Desember 2025
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/bw.v5i3.441

Abstract

Micro, Small and Medium Enterprises (MSMEs) play a strategic role as the main pillar of the Indonesian economy, considering their significant contribution in supporting national economic stability and their ability to absorb most of the workforce in the country. Currently, Kurnia Jaya Farm, an MSME that focuses on chicken farming, faces various challenges such as low production capacity, management, marketing and inadequate cultivation skills. The purpose of PKM is to improve the ability of partners in the productivity of laying hens and market products well. The method used involves a series of systematic stages, including socialization activities, training, technology implementation, and providing ongoing assistance. The application of smart farming technology in livestock farming that allows automatic control and monitoring of livestock using sensors and machines, thereby increasing the effectiveness of livestock activities. While the business platform, to form a digital marketing ecosystem in increasing the marketing of livestock products. The results of this activity increase the knowledge and ability of partners in using smart farming and business platforms so as to minimize the obstacles faced by farmers and improve marketing.
Co-Authors - Nurmala - Nurmala Ade Irma Rilyani Ahmad Syarief, Ahmad Andhika Pratomo, Panji Arifin, Oki Asrafi, Ibnu Berliana, Dayang Darma Prabudi 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 imam Asrowardi Jaya, Tri Sandika Mochammad Yusman Muhammad Farhan, Farhan Nopriansyah, Agi Nugroho, Budi Sulistiyo Nuha, M. Dzawin Nurrahman, Arif Oki Arifin 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 Sembiring, Rinawati Setjadiningra, Rr. Lydia Purna Widyastuti Simanjuntak, Henry Sriyanto Sriyanto Subyantoro, Eko Sundari, Ella Suprapto, Bambang Supriatna, Iyeh Sutarni, Sutarni Tri Sandhika Jaya Widyawati, Dewi Kania Yanti Rufaedah, Yanti Zuriati, Zuriati