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Sistem Informasi Geografis Pada Kelompok Wanita Tani Berbasis Data Object Rima Maulini; Oki Arifin; Dwirgo Sahlinal; Kurniawan Saputra
Jurnal Teknologi Informasi dan Terapan Vol 8 No 2 (2021)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v8i2.257

Abstract

Geographical Information System technology (GIS) uses a document database (JSON) as an object that can be applied to geographic information systems using object data in the group of women farmers (KWT) in Lampung Province. The distribution of KWT in Lampung Province can be done using a geographic information system. The use of relational databases can be replaced by using the document database as a database on the distribution of KWT in Lampung Province. There are 3 data markers for example KWT in Lampung province using google maps. By using a JSON document as a document database as an object it is possible to serve as a geographic information system database.
Sistem Informasi Pemasaran Hasil Pertanian Polinela Berbasis JSON Dwirgo Sahlinal; Rima Maulini; Dewi Kania Widyawati
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 1, No 1 (2018): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v1i1.1109

Abstract

Agricultural information system aims to build a marketing system based on JSON information system technology (Java Script Object Notation). Specifically the research aims: (1) build a database using JSON; (2) establish marketing information system of agricultural products; (3) provide information on the implementation of identification, inventory monitoring of agricultural product marketing issues. The research begins with literature review, planning and preparation of system model, model verification, field trial, evaluation and development and implementation result. Output targets to be generated: (1) basic data of agricultural product marketing processing; (2) built a marketing information analysis system with JSON-based information technology.Keywords: Information System; Marketing; Agricultural Product; JSON.
Perancancangan dan Simulasi Sistem Informasi Akademik Berbasis Wireless Application Protocol (WAP) Dwirgo Sahlinal; Kurniawan Saputra; Mochammad Yusman
Jurnal Ilmiah ESAI Vol 2 No 1 (2008)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/esai.v2i1.1316

Abstract

The Application Academic Information System based WAP is very needed in order to implement Information Technology into Teaching-Learning Process in University. By Using Emulator WAP as aid-equipment for simulating Academic Information System, will result an optimum output in developing Information System based WAP. Handphone as telecommunication equipment which is completed by WAP-GPRS facility can be used as an access Academic Information System through internet.  Kata Kunci : WAP, Sistem Informasi Akademik, emulator, GPRS
Sistem Otomasi Penyiraman Bibit Tanaman Berbasis Programmable Logic Controller (PLC) Dwirgo Sahlinal; Zuriati Zuriati; Dewi Kania Widyawati
Jurnal Ilmiah ESAI Vol 1 No 1 (2007)
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/esai.v1i1.1367

Abstract

The watering of plants seeds could be carried out automatically by using technology development of Programmable Logic Controller (PLC). PLC is a control system that can be programmed in controlling and organizing the watering of plants seeds. It is also can be arranged according to the need of water in each step of seed growth until the plants completed mature. By using sensor to measure the water humidity and timing program to organize water pump in controlling watering process so that the seeds are not water accessed, therefore the seeds growth could be optimal. Kata Kunci:  PLC, penyiraman bibit tanaman
Rancang Bangun Model Infrastruktur Transmisi Data Aplikasi E-government pada Level Sinyal Edge Menggunakan IaaS (Infrastructur As A Service) Dwirgo Sahlinal; Rima Maulini
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 1 (2018): JPIT, Januari 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i1.655

Abstract

The poor cellular signal strength subscription is one of major problem faced by most of the sub-districts in the Lampung province. Poor cellular signal strength subscription has a side effect in Internet transmission data processes both of transmit mode (Tx) and receives mode (Rx). To solve the problem that has been presented, this research proposed a new approach by utilizing Internet Infrastructure as a Service (IaaS) based on Cloud Computing to solve Internet data transmission problems. This research gets a conclusion that Cloud Computing-based Internet Infrastructure as a Service (IaaS) can convert a massive transmission data packets and break it down to a small transmission packet that can be transmitted or received through GSM-EDGE signal level.
Perancangan Kantor Digital Berbasis Framework dengan Metode Waterfall pada Politeknik Negeri Lampung Tri Sandhika Jaya; Dwirgo Sahlinal
Jurnal Informatika: Jurnal Pengembangan IT Vol 2, No 2 (2017): JPIT, Juli 2017
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v2i2.518

Abstract

MVC dikembangkan untuk memetakan input, process, output. Web framework sangat cocok untuk pengembangan aplikasi berbasis web karena lebih fleksibel dan secure. Proses  bisnis  di  perguruan  tinggi  tidak akan lepas dari berbagai permasalahan, seperti manajemen projek yang kurang rapi, atau proses manajemen  lainnya,  informasi  yang  kurang  akurat dan responsi naskah atau dokumen menggunakan kertas,   apabila   dilakukan   berulang   maka   dapat memicu  pengeluaran  dana  yang  tidak  sedikit, pencarian   dokumen   hardcopy   dimasa   yang   akan datang juga sulit dilakukan karena tidak ada tempat penyimpanan  secara  elektronik.  Maka  untuk mengatasi permasalahan tersebut maka peneliti mengembangkan Kantor Digital berbasis framework dengan Metode Waterfall.
Pengembangan Asisten AI Multi-Model dan Evaluasi Penerimaan Pengguna pada Tugas Akademik Mahasiswa Muhammad Reza Redo Islami; Dwirgo Sahlinal
Journal of Technology and Data Science Vol 4 No 1 (2026): January – June 2026
Publisher : PT. Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/b4ba9209

Abstract

Penelitian ini mengembangkan asisten akademik berbasis kecerdasan buatan multi-model yang memanfaatkan empat model bahasa besar (LLM) melalui platform OpenRouter API, meliputi Llama 3.3 70B, DeepSeek R1 Distill Llama 70B, Gemma 3 27B, dan Phi-4. Pengembangan sistem menggunakan metodologi Prototype SDLC dengan pendekatan iteratif. Evaluasi penerimaan pengguna dilakukan menggunakan Technology Acceptance Model (TAM) terhadap 30 responden mahasiswa Politeknik Negeri Lampung. Hasil penelitian menunjukkan nilai Perceived Usefulness (PU) sebesar 4,32, Perceived Ease of Use (PEOU) sebesar 4,18, dan Behavioral Intention to Use (BIU) sebesar 4,27, yang mengindikasikan tingkat penerimaan yang tinggi. Sistem mampu mengintegrasikan respons dari keempat model secara simultan dan menyajikan perbandingan hasil secara terstruktur, sehingga memberikan perspektif yang lebih komprehensif bagi mahasiswa dalam menyelesaikan tugas akademik.
Enhancing rice plant disease detection through transfer learning and image segmentation with YOLOv11 Muhammad Reza Redo I Islami; Sylvia; Atika Arpan; Rizka Permata; Dwi Handoko; Rima Maulini; Dwirgo Sahlinal
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 1 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i1.1754

Abstract

Rice is a staple food globally, yet its productivity is often threatened by diseases such as blast and brown spot. Traditional diagnostic methods relying on human observation are prone to delays and inaccuracies. This study introduces an automated detection system that utilizes YOLOv11-seg to improve the accuracy and efficiency of rice disease identification. The model integrates object detection and instance segmentation, is trained on over 6,000 annotated images covering six categories (five disease types and healthy leaves), and leverages transfer learning from COCO weights. Experimental results show that the model achieved a bounding box mAP@50 of 0.607 and a segmentation mAP@50 of 0.564, with F1-scores of 0.62 and 0.59, respectively. The highest detection accuracy was recorded for healthy leaves (86%), while segmentation performance declined on visually similar classes such as Brown Spot and Sheath Blight. Overfitting was observed during training, with a 15–20% gap between training and validation metrics. These findings demonstrate the model's potential for real-time field application in precision agriculture. Future improvements should focus on enhancing spatial accuracy and robustness through synthetic data generation and architectural optimization.