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All Journal Jurnal Teknologi Informasi dan Terapan (J-TIT) Journal of Vocational, Informatics and Computer Education
Dwi Putro Sarwo Setyohadi
Politeknik Negeri Jember
Computer Science & IT Education Electrical & Electronics Engineering

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PENDATAAN HASIL PRODUKSI PISANG BERBASIS KERUANGAN DI KABUPATEN LUMAJANG Dwi Putro Sarwo Setyohadi; Hendra Yufit Riskiawan
Jurnal Teknologi Informasi dan Terapan Vol 1 No 2 (2014)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

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Abstract

Bananas are one of the largest fruit commodities produced by farmland Lumajang compared with other fruit commodities. The amount of the production of bananas produced by Lumajang need to do a better collection of any amount of bananas each districts. Geographic Information Systems (GIS) or information systems development based spatial is information system capable of providing spatial information (spatial reference) in which the information generated can be viewed along with the map pointer location. Geographic Information Systems (GIS) Data Collection Banana Production in Lumajang used to assist in the collection of existing banana production earlier can also help related agencies namely the Department of Agriculture Lumajang in providing spatial reference information, especially the production of bananas. Data Collection Banana Production in Lumajang with this system can display information such as the amount of production per type of bananas produced by each of the districts in Lumajang and graph the results of banana production to inform the development of the production of bananas per year.
DESAIN SISTEM INFORMASI GEOGRAFIS DAERAH RAWAN BANJIR KABUPATEN JEMBER Nugroho Setyo Wibowo; Dwi Putro Sarwo Setyohadi; Hariyono Rakhmad
Jurnal Teknologi Informasi dan Terapan Vol 2 No 1 (2015)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

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Abstract

Geographic information system flood prone areas Jember district is a system that can provide information on flood-prone areas in each district where the vulnerable areas are obtained based on the calculation of fuzzy Tsukamoto accordance with the provisions that have been determined, in addition to providing information prone areas can also provide information the health facilities and the events that preceded the flood. This system is implemented in the form of digital map information with the aim to further facilitate the delivery of information. The data used was obtained from BPBDs (Regional Disaster Management Agency) and BPEKAP (District Development Planning Agency) Jember are then processed into a system suitable and appropriate. At the end result of this system will display information about flood-prone areas, health facilities, as well as data that precedes the events that are implemented in the form of digital maps for easier delivery.
IMPLEMENTASI SISTEM INFORMASI GEOGRAFIS DAERAH RAWAN BANJIR KABUPATEN JEMBER Nugroho Setyo Wibowo; Dwi Putro Sarwo Setyohadi; Hariyono Rakhmad
Jurnal Teknologi Informasi dan Terapan Vol 2 No 2 (2015)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

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Abstract

Implementasi Sistem informasi geografis daerah rawan banjir kabupaten jember merupakan tindak lanjut dari blue print penelitian yang terdahulu Desain Sistem Informasi Geografis Daerah Rawan Banjir Kabupaten Jember yang merupakan perancangan sebuah sistem yang dapat memberikan informasi mengenai daerah rawan banjir pada masing-masing kecamatan yang mana daerah rawan tersebut didapatkan berdasarkan perhitungan fuzzy tsukamoto. Sistem ini mengimplimentasikan informasi kedalam bentuk peta digital dengan tujuan lebih mempermudah penyampaian informasi. Data yang digunakan diperoleh dari BPBD (Badan Penanggulangan Bencana Daerah) dan BPEKAP (Badan Perencanaan Pembangunan Kabupaten) Jember yang kemudian diolah menjadi sebuah sistem yang sesuai dan tepat guna. Informasi daerah rawan banjir , sarana kesahatan, serta data kejadian yang mendahului merupakan keluaran dari sistem ini.
SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN RUMAH MAKAN Dwi Putro Sarwo Setyohadi
Jurnal Teknologi Informasi dan Terapan Vol 3 No 1 (2016)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

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Abstract

Perkembangan bisnis kuliner khususnya di kota Jember berkembang seiring waktu. Hampir di semua penjuru Jember bermunculan bisnis tempat makan. Kehadiran mahasiswa baru yang masih awam daerah kampus tentunya akan menemui banyak kesulitan ataupun banyak kendala khususnya dalam memilih rumah makan. Penentuan rumah makan yang harus dipilih oleh pengguna khususnya mahasiswa dipengaruhi oleh beberapa faktor diantaranya terdiri dari kenyaman, kebersihan, pelayanan dan harga. Adanya permasalahan tersebut, maka diperlukan perancangan sistem pendukung keputusan pemilihan rumah makan dengan menggunakan metode Metode Simple Additive Weighting. Mempermudah dan mempercepat masyarakat terutama mahasiswa baru untuk memilih rumah makan. Membantu pemilik rumah makan untuk mempromosikan kepada pengguna tentang kuliner di tempat makanannya dengan kriteriakriteria yang berbeda.
Explainable Clinical-Operational Intelligence for Hospital Length of Stay Prediction Using Integrated Multi-Source Admission Data with Time-Based Evaluation Dwi Putro Sarwo Setyohadi; Hendra Yufit Riskiawan; Aji Seto Arifianto; I Gede Wiryawan; Akas Bagus Setiawan
Journal of Vocational, Informatics and Computer Education Vol 4, No 2 (2026): June 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i2.507

Abstract

Purpose - Hospital length of stay (LOS) affects bed turnover, discharge planning, staffing, and capacity. Integrated hospital data can strengthen LOS prediction and support decision-making. This study developed an explainable clinical-operational intelligence framework for LOS prediction using integrated admission data. Methods - The dataset comprised 45,000 admissions with supporting patient, diagnostic, prescription, billing, ward, bed, staff, and insurance records. It is based on a structured simulation designed to resemble the operational data of hospitals. An admission-level master table was constructed from demographic, temporal, clinical, pharmaceutical, insurance, operational, and patient history features. Length of stay (LOS) regression and high-risk LOS classification were evaluated using a temporal split of 2020-2023 for training, 2024 for validation, and 2025 for testing. Ridge, Random Forest, XGBoost, and CatBoost were compared, followed by threshold optimization, label screening, and SHAP analysis. Findings – CatBoost achieved the best LOS regression performance, with a test MAE of 1.606, an RMSE of 2.028, and an R2 of 0.614. For classification, very_high_los_q90 produced the most balanced extreme-risk formulation, with an accuracy of 0.885 and ROC-AUC of 0.802, whereas high_los_q75 yielded a recall of 0.998 and an F1-score of 0.604. SHAP indicated that prior admission history, diagnostic burden, medication-related features, and ward-level context were prominent drivers of LOS. Research implications – Integrated hospital data are useful for detecting prolonged and extreme LOS, supporting better hospital planning and resource management Originality – This study offers an explainable modeling approach using integrated admission data to support LOS prediction and hospital analytics
Co-Authors Aji Seto Arifianto Hariyono Rakhmad Hendra Yufit Riskiawan I Gede Wiryawan Nugroho Setyo Wibowo Setiawan, Akas Bagus