Tri Mukti Lestari
Universitas Islam Negeri Maulana Malik Ibrahim Malang

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Evaluasi Sistem Informasi Manajemen Rumah Sakit (SIMRS) di RSUD X Mojokerto dengan Metode Technology to Performance Chain (TPC) Muhammad Atnang; Deni Luvi Jayanto; Wahyu Putra Alfiansyah; Ni'matu Zuliana; Vicky Djusmin; Nurhadi; Andra Dwitama Hidayat; Krisnita Dwi Jayanti; Endah Retnani Wismaningsih; Roma Firmansyah; dr. AG Nugroho Pudji Lestarjo; Tri Mukti Lestari
Jenggala : Jurnal Riset Pengembangan dan Pelayanan Kesehatan Vol 2 No 2 (2023): DESEMBER 2023
Publisher : Fakultas Teknologi dan Manajemen Kesehatan

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

Abstract

SIMRS merupakan sistem teknologi komunikasi dan informasi yang mengintegrasikan seluruh proses pelayanan di rumah sakit. SIMRS di RSUD X Mojokerto sering mengalami gangguan atau error. Hal tersebut menyebabkan pelayanan rendah dan antrian panjang. Oleh karena itu, peneliti perlu menganalisis kinerja teknologi rantai. Metode penelitian melalui pendekatan wawancara. Sampel penelitian ini adalah 5 petugas rekam medis bagian rawat jalan di RSUD X Mojokerto. Hasil wawancara menunjukkan bahwa secara keseluruhan petugas memberikan hasil yang positif mengenai pengaruh SIMRS terhadap tugas petugas dalam memberikan pelayanan rawat jalan yang dapat meningkatkan kinerja petugas menjadi efektif dan produktif. Selain itu terdapat 3 petugas yang belum mendapatkan pelatihan komputer sehingga dapat mengganggu kinerja petugas, namun dapat diatasi dengan pelatihan pada petugas lain yang telah mendapatkan pelatihan komputer. Dampak teknologi aplikasi SIMRS pada layanan ini sesuai dengan pengaruh positif model TPC (Technology-to-Performance Chain). Model ini menunjukkan bahwa kinerja akan meningkat ketika suatu teknologi menyediakan fitur dan dukungan yang tepat yang terkait dengan tugas tersebut. Penegasan teknologi informasi tersebut berpengaruh positif terhadap kinerja individu. Peneliti berharap pada penelitian terakhir yang menggunakan bagian wawancara diubah ke metode yang lain. Berdasarkan hasil penelitian, perlu diadakan pelatihan SIMRS bagi seluruh petugas pendaftaran rawat jalan untuk meningkatkan kualitas pelayanan rekam medis di RSUD X di Mojokerto
Car selection in games using multi-objective optimization by ratio analysis based on player achievement Caesar Nafiansyah Putra; Fresy Nugroho; Mochamad Imamudin; Dwi Pebrianti; Jehad Abdelhamid Hammad; Tri Mukti Lestari; Dian Maharani; Alfina Nurrahman
Computer Science and Information Technologies Vol 7, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v7i1.p30-45

Abstract

The selection menu in some racing games usually uses a random system for vehicle selection. However, this random feature generally randomizes the selection of the index without considering factors that support the player's abilities. Therefore, this study aims to develop a racing game that can suggest vehicles that have been adjusted to the player's performance. Vehicle recommendations are made using the multi-objective optimization on the basis of ratio analysis (MOORA) method as its method. The MOORA calculation ranks vehicles based on criteria such as mileage, fuel efficiency, speed, agility, and others collected in previous games. The results of this study show the effectiveness of using the MOORA method in recommending vehicles that match the player's skills, thereby improving the overall player experience. In addition, the usability test produced a system usability scale (SUS) score of 82.4, so it is included in the very good category.
Seasonal Time Series Models for Forecasting Pertussis Endemic with Holt-Winter's Exponential Smoothing Ashri Shabrina Afrah; Nur Fitriyah Ayu Tunjung Sari; Shoffin Nahwa Utama; Tri Mukti Lestari
Walisongo Journal of Information Technology Vol. 7 No. 2 (2025): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2026.8.1.16856

Abstract

Accurate forecasting of pertussis cases can support disease surveillance and public health planning. This study evaluates the application of Holt–Winters exponential smoothing to forecast weekly pertussis cases in the United States. The study uses weekly case data reported by the Centers for Disease Control and Prevention (CDC) and the Florida Department of Health, covering the period from 2008 to 2012, with four additional observations from the final weeks of 2007 included as initial data. Two Holt–Winters configurations were evaluated using seasonal periods of 4 and 13 weeks. The dataset was divided into training and testing sets at a ratio of 80:20, and forecasting accuracy was assessed using the Mean Absolute Percentage Error (MAPE). The reported results show that the 4-week configuration achieved a MAPE of 34.7898%, whereas the 13-week configuration achieved a MAPE of 40.7340%. Thus, the 4-week configuration produced a lower MAPE than the 13-week configuration for the data evaluated in this study. However, the results should be interpreted within the scope of the selected dataset and seasonal configurations. Further evaluation using alternative seasonal periods, clearly specified testing procedures, and additional datasets is necessary to determine the robustness and generalizability of the forecasting performance.