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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri
Yusuf Priyandari
Jurusan Teknik Industri, Fakultas Teknik, Universitas Sebelas Maret Jl. Ir Sutami No. 36A, Surakarta, Indonesia 57126
Computer Science & IT Engineering Industrial & Manufacturing Engineering

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Prototipe Alat Pemantauan Suhu untuk Rantai Dingin Produk Mengunakan Near Field Communication, Studi Kasus Distribusi Darah Priyandari, Yusuf; Suletra, I Wayan; Mas’ud, Azmi; Pujiharto, Adi Norrochmat
Jurnal Ilmiah Teknik Industri Vol. 16, No. 2, Desember 2017
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v16i2.3880

Abstract

Temperature monitoring apparatus is required for the distribution of certain products that are distributed using cold chain method. Temperature gauges that use analog and digital thermometers can not store temperature data in transit. The digital temperature register apparatus (logger) in the market temperature is relatively expensive and does not provide early warning if the temperature in the storage box products out of permitted temperature limits. The research developed a prototype of a temperature monitoring device for the distribution of cold chain products. Case studies on blood distribution are used as a basis for determining the need for temperature monitoring devices. The product prototype is made by stages in accordance with generic product development method. The resulting prototype can provide temperature information in the cold box during the course of blood distribution. The prototype can also provide warnings in the form of sounds and lights when the temperature inside the cold box is outside the ideal temperature limit / permitted for the blood distribution process. Temperature history data during the trip can be stored in NFC Tags. The data can then be read using smart-phone devices that feature NFC.
Redesign of OrthoLPPDUNS External Fixation for Bone Reconstruction Using the Function Analysis System Technique (FAST) Method Herdiman, Lobes; Priadythama, Ilham; Susmartini, Susy; Priyandari, Yusuf; Murdiyantara, I Nyoman Suci Anindya; Apriani, Durkes Herlina
Jurnal Ilmiah Teknik Industri Vol. 19, No. 02, December 2020
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v19i2.10732

Abstract

Taylor Spatial Frame (TSF) better known as an external fixation product from several types of fixation devices in the orthopedic field. The Laboratory of Product Planning and Design has manufactured TSF or called OrthoLPPDUNS external fixations. The OrthoLPPDUNS design found that frame instability forming ring-strut angles caused by strut screw rotations was feeling rough due to backlash. The purpose is how to redesign an OrthoLPPDUNS with a Function Analysis System Technique (FAST). FAST method is applied at each stage of starting from the information stage to the interpretation of the results. The OrthoLPPDUNS design with the joint system uses custom components that cause weakness in frame stability. The use of standard components in joint systems can provide solutions to external fixations, although there are still weaknesses in the ring-strut angle. The OrthoLPPDUNS redesign has a better success rate in terms of stability parameters, allowing more precise bone reconstruction.
Causal Inference to Predict Delayed Arrival of Ordered Production Materials at PT. XYZ Hanura, Muhammad Ridzky; Priyandari, Yusuf; Hisjam, Muhammad
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.23020

Abstract

PT XYZ has a problem with the delayed arrival of ordered production materials. Although the company is aware of the delays based on data, the company does not yet know the causes or sources of problems that cause delays. On the other hand, not all factors can be controlled to reduce the delay in the arrival of production materials. The company intends to predict the change in delay time if control or intervention is carried out on certain factors by utilising data availability. The factor to be treated is requisition-to-order lead time A causal inference model is used using the Dowhy library (a Python library for causal inference by graphing the model, quantitatively evaluating causal effects, and validating the causal assumptions) to estimate the quantitative causal effect between requisition-to-order lead time and the arrival time of the ordered material by considering other factors that also affect the delay. The results of the causal effect estimation are that by intervening or controlling the requisition-to-order lead time factor by one day, there is a decrease in the average delay in material arrival time by one day
Desain Dashboard untuk Penyajian Informasi Publik Rumah Sakit berbasis Indikator Kinerja dan Evaluasi Dashboard Menggunakan Short-User Experience Questionnaire Priyandari, Yusuf; Setyoko, Rio Detri; Pujiyanto, Eko; Wicaksono, Hendro
Techno.Com Vol. 24 No. 2 (2025): Mei 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i2.12804

Abstract

Undang-Undang Nomor 14 Tahun 2008 tentang keterbukaan informasi publik mengatur setiap badan publik, termasuk rumah sakit pemerintah, membuka akses atas informasi publik. Sayangnya, informasi publik berupa kinerja rumah sakit hanya dapat diakses dalam format dokumen pdf dan spreadsheet melalui website internal rumah sakit dan website tertentu di tingkat provinsi, serta belum terorganisir dengan baik. Oleh karena itu, penelitian ini mengajukan sebuah rancangan aplikasi dashboard standar bagi semua rumah sakit di sebuah provinsi. Metode perancangan dilakukan dalam empat tahapan, yakni diagnosis sistem, analisis kebutuhan, pembuatan dashboard, dan evaluasi hasil rancangan. Pada setiap tahapan terdapat aktivitas dan secara khusus pada tahapan evaluasi digunakan Short - User Experience Questionnaire (UEQ-S). Hasil rancangan dashboard mampu menyajikan visualisasi informasi terhadap tujuh indikator kinerja rumah sakit sebagai informasi publik untuk tiga kategori pengguna, yakni akademisi perguruan tinggi, pimpinan/staff lembaga eksekutif/legislatif, dan peneliti/media independen. Berdasarkan respon pengalaman pengguna, diketahui bahwa dashboard telah mencapai tujuannya sebagai sebuah aplikasi untuk menyajikan informasi publik, pengguna merasa senang dan nyaman menggunakan dashboard, dan secara keseluruhan kesan pengguna terhadap sistem dashboard sangat baik. Hal ini terlihat dari hasil kuisioner UEQ-S bahwa impresi pengalaman pengguna yang menunjukkan bahwa kualitas pragmatis dashboard dinilai baik (good), kualitas hedonis dinilai sangat baik (excelent) dan secara keseluruhan sistem dashboard dinilai sangat baik (excelent).
Causal Inference to Predict Delayed Arrival of Ordered Production Materials at PT. XYZ Hanura, Muhammad Ridzky; Priyandari, Yusuf; Hisjam, Muhammad
Jurnal Ilmiah Teknik Industri Vol. 22, No. 2, December 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i2.23020

Abstract

PT XYZ has a problem with the delayed arrival of ordered production materials. Although the company is aware of the delays based on data, the company does not yet know the causes or sources of problems that cause delays. On the other hand, not all factors can be controlled to reduce the delay in the arrival of production materials. The company intends to predict the change in delay time if control or intervention is carried out on certain factors by utilising data availability. The factor to be treated is requisition-to-order lead time A causal inference model is used using the Dowhy library (a Python library for causal inference by graphing the model, quantitatively evaluating causal effects, and validating the causal assumptions) to estimate the quantitative causal effect between requisition-to-order lead time and the arrival time of the ordered material by considering other factors that also affect the delay. The results of the causal effect estimation are that by intervening or controlling the requisition-to-order lead time factor by one day, there is a decrease in the average delay in material arrival time by one day
Multi-Objective Optimization of Machining Parameters for Multi-Pass CNC Turning to Minimize Carbon Emissions, Energy, Noise and Cost Fittamami, Bening Maulina; Pujiyanto, Eko; Priyandari, Yusuf
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 1 (2021): June 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.1.25-34

Abstract

Global warming is a huge environmental issue today. This is due to the high level of world carbon emissions. The manufacturing process accounts for 30% of the world's carbon emissions production.  Sustainable manufacturing is necessary to implement to reduce carbon emission levels caused by the manufacturing process. There are three aspects of sustainable manufacturing, namely environmental aspects, economic aspects, and social aspects. These three aspects can be implemented in the machining process by optimizing machining parameters in multi-pass CNC turning. This research aims to optimize CNC turning machining parameters by considering energy consumption, carbon emissions, noise, and production cost. The model is solved using a Multi-objective Genetic Algorithm in Matlab 2016b then the transformation and weighting functions are carried out from the feasible value. Based on the optimization results, the total energy consumption value obtained is 2.50 MJ; total production cost is $ 2.19; total carbon emissions are 5.97 kgCO2, and noise is 236, 19 dB. The sensitivity analysis exhibits the machining parameters that affect the objective function: The cutting speed parameter and the feed rate parameter. This model can be used to improve the manufacturing process and support sustainable manufacturing.
Co-Authors Alfian Destha Joanda Alfian Destha Joanda Apriani, Durkes Herlina Cahyaningrum, Fransiska Endah Fittamami, Bening Maulina Hanura, Muhammad Ridzky Hendro Wicaksono Hisjam, Muhammad I Wayan Suletra Ilham Priadythama Irwan Irwan Joanda, Alfian Destha Kristanto Agung Nugroho, Kristanto Agung Kusuma, Hansen Lobes Herdiman Mas’ud, Azmi Murdiyantara, I Nyoman Suci Anindya Pujiharto, Adi Norrochmat Pujiyanto, Eko Roni Zakaria Roni Zakaria Setyoko, Rio Detri Suprayogi Suprayogi Susmartini, Susy Yahuda Patria Christiawan Yuniaristanto Yuniaristanto Zakaria, Roni