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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JUITA : Jurnal Informatika JUSIFO : Jurnal Sistem Informasi INFORMAL: Informatics Journal TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi Aptisi Transactions on Technopreneurship (ATT) Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Mobile and Forensics International Journal of Applied Sciences and Smart Technologies Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal INFOTEL Teknomatika: Jurnal Informatika dan Komputer JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Erick Alfons Lisangan
Atma Jaya University Of Makassar
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Neuroscience Social Sciences

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HEALTH SERVICE QUALITY VALUES OF PRIMARY CLINIC USING EPARTICIPATION SERVICE QUALITY ASSESSMENT Siswanto, Joko; Lisangan, Erick Alfons; Zaenudin, Zaenudin
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 3 (2023): JUTIF Volume 4, Number 3, June 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.3.934

Abstract

The use of technology to manage participation in the quality of health services needs to be carried out to produce relevant, valid and accurate assessments of service quality. Not all Primary Clinics have health service quality standards and quality evaluation data for participation services using information technology (via electronic media). This is crucial for evaluating clinic development, upgrading the status to Main Clinic, and improving the service quality. The methodology used adopts the eParticipation framework with the stages of Areas of Participation (determining the main areas of participation), Category of Tools (determining the categories of ICT support tools), and Technology (determining ICT support technologies). The participation area is limited to Primary Clinic patients who act as participants of 1,308 people. 14 elements with a total of 33 detailed elements are the basic elements for assessing service quality. Application of eParticipation SQA website-based is used to manage and present the results of service quality assessments by Primary Clinic Managers. The highest average service quality assessment is in the answers to Good (62%), the Worse and Poor options are minimized, and the options of Good and Very Good are maximized. The technology required consists of software, hardware, and network devices. The application is supported by Manager and is used easily, quickly, and precisely.
Predicting Transjakarta Passengers with LSTM-BiLSTM Deep Learning Models for Smart Transportpreneurship Siswanto, Joko; Hendry, Hendry; Rahardja, Untung; Sembiring, Irwan; Lisangan, Erick Alfons
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.440

Abstract

Travel pattern variations pose challenges in building a prediction model that accurately captures seasonal patterns or precision of BRT passenger numbers. An approach that integrates sophisticated prediction algorithms with high accuracy is needed to address the Transjakarta BRT passenger number prediction model problem. The proposed prediction model with the best accuracy is sought using deep learning on 8 models. The prediction model is used for short-term and long-term predictions, as well as looking for correlations in the prediction results of 13 Transjakarta corridors. The Python programming language with the Deep Learning Tensor Flow framework is run by Google Colaboratory used in the prediction simulation environment. The combination of BiLSTM-CNN was found to have the best accuracy of the evaluation value (SMAPE = 15.9387, MAPE = 0.598, and MSLE = 0.0425), although it has the longest time (134 seconds). Fluctuations in short-term predictions of passenger numbers evenly occur simultaneously across all corridors. Fluctuations in long-term predictions evenly occur simultaneously across all corridors, except in February. There is no negative correlation in the 13 prediction results and there are 8 corridors that have a close positive correlation. The prediction results can be used by transportation operators and the government to optimize resource planning and transportation policies to support sustainable community and economic mobility.
Perancangan Sistem Registrasi berdasarkan Estimasi Waktu Penanganan Pasien untuk Mencegah Kerumunan Antrian Astrid Lestari Tungadi; Erick Alfons Lisangan
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 2 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i2.4411

Abstract

Along with the increase in population and the development of information technology, it is necessary to have a system that is able to support the process of improving health care. One of the weaknesses of the current health care system is the patient waiting time which is still below the established standard, which is less than 60 minutes. This study designed a patient registration system that can estimate the patient's arrival time based on the input symptoms. The use of QR Code technology and meeting applications helps to support patient registration and consultation. The research methodology uses the waterfall method by involving doctors and patients as data sources. Test results using black boxes indicate that the system is able to categorize patient care as expected. The system has also been able to function well functionally. It takes a process of updating symptoms periodically by doctors so that the system is able to recognize new symptoms that have not been recorded previously. With the estimated arrival time, the queue or crowd of patients in the waiting room can be minimized properly.
Co-Authors -, Willy Adi Chandra Syarif Aina Musdholifah Arif Resya Saputra Astrid Lestari Tungadi Astrid Lestari Tungadi Chairul Mukmin Christian Immanuel Gosal Cindy Deviana Atmakusuma David Yauri Dwi Marisa Midyanti Farid Hartono Gunawan, Farid Hartono Farif Hartono Gunawan Farlin Yosry Felix Stanley Gabrielle Enjelina Aurellia Lianury Gormantara, Alfredo Hendry Irwan Sembiring Joko Siswanto Liem, Samuel Michael Melki Friaswanto Monica Sucianto Randy Randy Ridnaldy Yunior Carolus Sean Coonery Sumarta Sean Coonery Sumarta, Sean Coonery Shereen Beatrix Adhiwidjaja Sri Hartati Stanley, Felix Sumarta, Sean Coonery Tandungan, Levi Oktavian Tuga, Maria Yustina Untung Rahardja Yosry, Farlin Zaenudin Zaenudin