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Analisis Kebutuhan Tenaga Rekam Medis Berdasarkan WISN (Workload Indicator of Staffing Need) di Unit Rekam Medis UPTD Puskesmas Selemadeg Ni Wayan Ernawati; I Putu Dedy Kastama Hardy; Made Agus Sugianto
JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI) Vol 1, No 2 (2022): JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI)
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (574.651 KB)

Abstract

Abstract The number of human resources in the Medical Record Unit at the UPTD of the Selemadeg Health Center is three people, with an average poly visit of 50-70 patients per day, and the number of ER visits is an average of 15-20 patients per day. UPTD Puskesmas Selemadeg is an inpatient puskesmas where the existing medical record officers are only on duty in the morning. With so many patients, officers often feel overwhelmed by entering two types of patient input, which causes patients to queue for too long. To solve the problem, necessary to plan energy requirements with the WISN, which expect to reduce errors due to workload. Data collection techniques collect through participatory observation, documentation, and interviews. This type of research is a descriptive method WISN. The research instrument used a checklist and SOP. The number research population is three people with a total sample sampling. The available working time is 90,000 minutes/year with a standard workload of 13195.16 minutes/year, and the standard allowance is 0.184 HR. The need for human resources by WISN analysis shows that the number of workers is five from the current three people. Hence, the UPTD Puskesmas Selemadeg needs to plan to add two people to the medical record profession to suit the workload.Keywords:Manpower Needs, WISN Method, WISN Ratio, Medical Record Unit Abstrak Jumlah SDM di Unit Rekam Medis di UPTD Puskesmas Selemadeg sebanyak 3 orang dengan jumlah kunjungan poli rata- rata 50 – 70 pasien per hari dan jumlah kunjungan UGD rata – rata 15 – 20 pasien per hari. UPTD Puskesmas Selemadeg merupakan puskesmas rawat inap dimana petugas rekam medis yang ada hanya bertugas pada pagi hari. Dengan banyak nya pasien petugas sering kali merasa kewalahan dengan mengentry 2 jenis penginputan pasien yang menyebabkan pasien antre terlalu lama. Untuk mengatasi masalah tersebut, maka diperlukan perencanaan kebutuhan tenaga dengan metode WISN yang diharapkan mampu menekan terjadinya kesalahan akibat beban kerja. Jenis penelitian ini merupakan penelitian deskriptif dengan metode WISN. Jumlah populasi penelitian 3 orang dengan sampel total sampling. Instrumen penelitian menggunakan checklist dan SOP. Teknik  pengumpulan data dengan observasi partisipatif, dokumentasi danwawancara. Waktu kerja tersedia sebesar 90.000 menit / tahun denganstandar beban kerja sebesar 13195.16 menit / tahun, standar kelonggaransebesar 0,184 SDM. Kebutuhan tenaga dengan analisis WISNdidapatkan jumlah tenaga sebesar 5 orang dari yang ada saat ini baru 3orang. Sehingga manajemen UPTD Puskesmas Selemadeg perlumengadakan perencanaan penambahan tenaga sebanyak 2 orang denganprofesi perekam medis agar sesuai dengan beban kerja. Kata kunci:Kebutuhan Tenaga, Metode WISN, Rasio WISN, Unit Rekam Medis
PERBANDINGAN METODE KLASIFIKASI SUPPORT VECTOR MACHINE DAN NAÏVE BAYES PADA ANALISIS SENTIMEN KENDARAAN LISTRIK Ni Wayan Ernawati; I Nyoman Satya Kumara; Widyadi Setiawan
Jurnal SPEKTRUM Vol 10 No 3 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i03.p12

Abstract

Electric vehicles are one of the solutions that can be used to deal with the problem of greenhouse gas emissions. Switching to electric vehicles can be an effective solution because electric vehicles have many advantages. However, the acceptance of electric vehicles in Indonesia depends on the opinions or sentiments given by the community. Sentiment analysis can provide a specific picture of how the sentiment or opinion given by the Indonesian people towards electric vehicles. The sentiment analysis process is carried out using the Python programming language. This research compares SVM and Naïve Bayes methods in sentiment analysis in terms of accuracy and time efficiency. A total of 717 data were used as test data and SVM correctly classified 150 negative data, 152 neutral data, and 277 positive data. Meanwhile, Naïve Bayes correctly classified 166 negative data, 143 neutral data, and 282 positive data. training time required for the SVM method is 37.42 seconds while Naïve Bayes is 0.10 seconds. Naïve Bayes is the best method in this study because of its high accuracy and fast training time.
Analisis Kebutuhan Tenaga Rekam Medis Berdasarkan WISN (Workload Indicator of Staffing Need) di Unit Rekam Medis UPTD Puskesmas Selemadeg Ni Wayan Ernawati; I Putu Dedy Kastama Hardy; Made Agus Sugianto
JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI) Vol. 1 No. 2 (2022): JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI)
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/js.v1i2.2313

Abstract

Abstract The number of human resources in the Medical Record Unit at the UPTD of the Selemadeg Health Center is three people, with an average poly visit of 50-70 patients per day, and the number of ER visits is an average of 15-20 patients per day. UPTD Puskesmas Selemadeg is an inpatient puskesmas where the existing medical record officers are only on duty in the morning. With so many patients, officers often feel overwhelmed by entering two types of patient input, which causes patients to queue for too long. To solve the problem, necessary to plan energy requirements with the WISN, which expect to reduce errors due to workload. Data collection techniques collect through participatory observation, documentation, and interviews. This type of research is a descriptive method WISN. The research instrument used a checklist and SOP. The number research population is three people with a total sample sampling. The available working time is 90,000 minutes/year with a standard workload of 13195.16 minutes/year, and the standard allowance is 0.184 HR. The need for human resources by WISN analysis shows that the number of workers is five from the current three people. Hence, the UPTD Puskesmas Selemadeg needs to plan to add two people to the medical record profession to suit the workload.Keywords:Manpower Needs, WISN Method, WISN Ratio, Medical Record Unit Abstrak Jumlah SDM di Unit Rekam Medis di UPTD Puskesmas Selemadeg sebanyak 3 orang dengan jumlah kunjungan poli rata- rata 50 – 70 pasien per hari dan jumlah kunjungan UGD rata – rata 15 – 20 pasien per hari. UPTD Puskesmas Selemadeg merupakan puskesmas rawat inap dimana petugas rekam medis yang ada hanya bertugas pada pagi hari. Dengan banyak nya pasien petugas sering kali merasa kewalahan dengan mengentry 2 jenis penginputan pasien yang menyebabkan pasien antre terlalu lama. Untuk mengatasi masalah tersebut, maka diperlukan perencanaan kebutuhan tenaga dengan metode WISN yang diharapkan mampu menekan terjadinya kesalahan akibat beban kerja. Jenis penelitian ini merupakan penelitian deskriptif dengan metode WISN. Jumlah populasi penelitian 3 orang dengan sampel total sampling. Instrumen penelitian menggunakan checklist dan SOP. Teknik  pengumpulan data dengan observasi partisipatif, dokumentasi danwawancara. Waktu kerja tersedia sebesar 90.000 menit / tahun denganstandar beban kerja sebesar 13195.16 menit / tahun, standar kelonggaransebesar 0,184 SDM. Kebutuhan tenaga dengan analisis WISNdidapatkan jumlah tenaga sebesar 5 orang dari yang ada saat ini baru 3orang. Sehingga manajemen UPTD Puskesmas Selemadeg perlumengadakan perencanaan penambahan tenaga sebanyak 2 orang denganprofesi perekam medis agar sesuai dengan beban kerja. Kata kunci:Kebutuhan Tenaga, Metode WISN, Rasio WISN, Unit Rekam Medis