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All Journal International Journal of Supply Chain Management International Journal of Research in Community Services Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Titi Purwandari
Department Of Statistics, Faculty Of Mathematics And Natural Sciences, Universitas Padjadjaran, INDONESIA
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Social Sciences Transportation Other

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Early Information on Active Cases in Zero Rejection Efforts for COVID-19 Patients in West Java Province 2021 Using the Feedforwards Multilayer Perceptron Neural Network Yuyun Hidayat; Subiyanto Subiyanto; Titi Purwandari; Dhika Surya Pangestu; Sukono Sukono
International Journal of Research in Community Services Vol 2, No 1 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v2i1.140

Abstract

West Java noted, as of August 14, 2021, 653,741 people were confirmed positive for COVID-19. On the same date, the number of active COVID-19 cases in West Java was 65,000. There is a significant increase in active cases of COVID-19 in 2021 in West Java. In the period 5 June – 17 July 2021, there was an increase in the number of active cases by 95,532. In that period, active cases increased by 484%, and the Bed Occupancy Ratio (BOR) in West Java had jumped in June 2021 with the highest number of 91.6%, this figure far exceeded the WHO recommendation of 60% before finally continuing to decline and finally in August was at 30.69%. This has an impact on the incidence of patient rejection at the COVID-19 referral hospital. Active cases talk about COVID-19 patients who need medical treatment and new cases talk about the rate of spread of COVID-19 in West Java, so these two things are very strategic to study. In this study, active cases and new case were predicted using Multilayer Perceptron (MLP). The data used in this study were sourced from the COVID-19 Task Force. The data is the number of positive cases, recovered and died of COVID-19 sufferers in 34 provinces in Indonesia in the period 2 March 2020 - 14 August 2021. The results of the study found, from the results of the evaluation using data testing the number of active cases in the last 19 weeks, namely April 10 – August 14, 2021, MLP is accurate in predicting the number of active cases for the first coming week 17 times, and the next two weeks for the second week 12 times with an absolute percentage error (APE) < 20%. As for weekly new cases, MLP has been accurate 10 times for the next one week and 9 times for the next two weeks. It is hoped that the results of this study can be useful for the government as a reference in conditioning the hospital bed capacity to deal with active cases of COVID-19 in West Java in the next two weeks so that no COVID-19 patients are rejected by the hospital because the hospital is full.
Preventive Maintenance Supply Chain Management Optimal Scheduling on VMACL Machines by Implementing Simulation Annealing Algorithms Yuyun Hidayat; Titi Purwandari; Achmad Bachrudin; Aziza Ayu Nurjannah; Agus Santoso; Sukono Sukono
International Journal of Supply Chain Management Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.524 KB)

Abstract

PT. Braja Mukti Cakra uses various types of engines to produce parts for truck cars. Vertical Lathe Automatic Chucking Machine (VMACL) is a machine that has the highest frequency of damage when compared to other machines. To reduce damage costs, preventive maintenance is well scheduled. This scheduling problem solving is done using the Annealing Simulation Algorithm. The results of the analysis give direction that the scheduling that must be done are: The maintenance action schedule for the Lifter component is at month 1,6,7,22,24,34, for the Insert component at 4,15,18,27,33 months, and for the Door component at the 2nd month, 12,13,16,17,30,36. Replacement actions for the Lifter component were carried out in the 4,5th month, 1,17,20,29, for the Insert component in the 9,19,22,23,35 months, and for the Door component in the 1,20,27 months. . Scheduling for 36 months using the Simulated Annealing Algorithm will cost IDR. 84,119,244.60 and produce greater reliability than the previous reliability of 58.44%.
Preparation Training for the Implementation of Agricultural Micro Insurance in the Prosperous Farmers Group, Parungponteng Village, Tasikmalaya Regency Yuyun Hidayat; Sukono Sukono; Titi Purwandari
International Journal of Research in Community Services Vol 3, No 4 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v3i4.335

Abstract

Agriculture is a form of processing biological natural resources with the help of technology, capital, labor, and management. In Indonesia, agriculture is the main source of livelihood in some areas, one of which is Cibungur village, Parungponteng sub-district, Tasikmalaya district, West Java. With agriculture as the main livelihood in the village, all of these are not spared from the risks that can damage the agricultural sector. With the risks that can occur, there comes a solution to this problem, one of which is insurance. One of the insurance facilities for handling farmer risk is the Agricultural Micro Insurance program, which is expected to provide protection against the risk of uncertainty by providing guarantees for farmers to get working capital for farming from insurance claims. With this insurance, it can also reduce the risks that will occur which may be detrimental in the future. To realize this micro-insurance, we provide guidance to the prosperous farmer cooperative groups to form micro-insurance within the cooperative.
Identifying Unwanted Conditions Using Lower Boundaries on Individual Control Charts in the Context of Supply Chain Economic Resilience of Cities in Indonesia Purwandari, Titi; Sukono, Sukono; Hidayat, Yuyun; Ahmad, Wan Muhamad Amir W
International Journal of Supply Chain Management Vol 9, No 5 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v9i5.5346

Abstract

This study presents the unwanted conditions determination. The economic resilience model without taking into account the level of disruption and unwanted conditions is unrealistic model. The Objective is to determine unwanted conditions as a key criterion in determining the economic resilience status of a city. This study used data on Concern variables group and Control variables groups from website of Central Bureau of Statistics Indonesia. These data covered all 514 cities in Indonesia and are observed for a 5-year period from 2014 to 2018. The data is useful to develop a statistical model that can explain well the pattern of relationships between concern variables and control variables. Piecewise linear regression is applied to identify statistics model between Pc and Z, Lower Control Limit (LCL) for variable Z using Individual control Chart is applied to determine the unwanted conditions.  We obtained that the control variable, Z is the ratio between the original income of the region (PAD) with the number of poor people in a city and the concern variable is income per capita, Pc of a city. Piecewise linear regression with breakpoint 126,255,066 can explain well the pattern of relationships between Z and Pc variables. The equation is: Pc = 26,660,263+0.28Z, R-square = 70.48%. LCL value is.1.884.059.5 so all cities that have a Z value below 1.884.059.5 fall into the unwanted condition area and after careful examination is obtained percentage of cities classified as do not have economic resilience , PER =28%. Cities that fall into unwanted conditions are defined as cities that cannot bear receiving economic shocks.
Profil Provinsi di Indonesia Berdasarkan Sarana Pelayanan Kesehatan Menggunakan Analisis Korespondensi Purwandari, Titi; Hidayat, Yuyun
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2017: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.309 KB)

Abstract

Program Lingkungan Sehat bertujuan untuk mewujudkan mutu lingkungan hidup yang sehat melalui pengembangan sistem kesehatan wilayah. Kesehatan lingkungan merupakan suatu kondisi lingkungan yang mampu menopang keseimbangan ekologi yang dinamis antara manusia dengan lingkungan dan untuk mendukung tercapainya kualitas hidup manusia yang sehat. Penelitian ini bertujuan untuk memetakan provinsi provinsi di Indonesia berdasarkan sarana pelayanan kesehatan , hal ini dapat memberikan informasi dan rekomendasi kepada pemerintah Indonesia dalam membuat kebijakan kebijakan di sektor kesehatan . Data yang digunakan bersumber dari Direktorat Jenderal Pengendalian Penyakit dan Penyehatan Lingkungan Kementerian Kesehatan Republik Indonesia. Hasil analisis menggunakan analisis korespondensi diperoleh peta pengelompokan 34 provinsi provinsi di Indonesia berdasarkan 9 variabel sarana pelayanan kesehatan dan peta yang dihasilkan dapat memberi informasi mengenai profil provinsi provinsi di Indonesia dan peta dua dimensi yang dihasilkan dapat mewakili informasi pengelompokan provinsi provinsi di Indonesia berdasarkan indikator sarana pelayanan kesehatan sebesar 79,4 %.
Pemodelan Ketertinggalan Daerah di Indonesia Menggunakan Analisis Diskriminan Purwandari, Titi; Hidayat, Yuyun
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2017: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (386.298 KB)

Abstract

Kemajuan pembangunan daerah dan kesejahteraan rakyat di Indonesia tidak selalu sama dan merata, hal ini mengakibatkan adanya kesenjangan antar wilayah. Pembangunan daerah tertinggal merupakan upaya terencana untuk mengubah suatu daerah yang dihuni oleh komunitas dengan berbagai permasalahan sosial ekonomi dan keterbatasan fisik, menjadi daerah yang maju dengan komunitas berkualitas hidup sama atau tidak jauh tertinggal dibandingkan dengan masyarakat Indonesia lainnya. Berdasarkan hal tersebut di atas, diperlukan program pembangunan daerah tertinggal yang lebih difokuskan pada percepatan pembangunan di daerah yang kondisi sosial, budaya, ekonomi, keuangan daerah, aksesibilitas, serta ketersediaan infrastruktur masih tertinggal dibanding dengan daerah lainnya. Penelitian ini bertujuan untuk mengetahui pengaruh sejumlah variabel pengamatan terhadap penetapan daerah tertinggal dan daerah tidak tertinggal di Indonesia. Kegunaan dari penelitian ini adalah memberi rekomendasi kepada instansi terkait dalam membuat kebijakan. Penelitian ini menggunakan data sekunder yang dikumpulkan Badan Pusat Statistik. Metode yang digunakan adalah analisis diskriminan. Berdasarkan hasil analisis diperoleh kesimpulan bahwa terdapat 2 variabel yang berpengaruh secara signifikan terhadap pengklasifikasian daerah tertinggal atau tidak tertinggal dengan ketepatan pengklasifikasian sebesar 87.8 %.
Co-Authors Achmad Bachrudin Agus Santoso Aziza Ayu Nurjannah Dhika Surya Pangestu Subiyanto Subiyanto Sukono . Wan Muhamad Amir W Ahmad Yuyun Hidayat