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Perwira Journal of Science and Engineering (PJSE)
Published by Universitas Perwira Purbalingga
ISSN : -     EISSN : 27758486     DOI : https://doi.org/10.54199/pjse
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Perwira Journal of Science & Engineering (PJSE) is a journal that is published and published regularly to accommodate ideas, studies and scientific studies from students, and academics of the Agribusiness, Informatics and Mechanical Engineering Science & Technology Study Program, Univesitas Perwira Purbalingga. contains scientific writings in the form of research results, theoretical studies and theoretical applications, conceptual ideas, new book reviews, bibliographies and practical writings.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol 1 No 2 (2021)" : 6 Documents clear
KAJIAN PERTUMBUHAN DAN HASIL TANAMAN KEDELAI (Glycine max (L) Merill) var. SINABUNG PADA BERBAGAI JARAK TANAM Victor Bintang Panunggul
Perwira Journal of Science & Engineering Vol 1 No 2 (2021)
Publisher : Universitas Perwira Purbalingga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (164.558 KB) | DOI: 10.54199/pjse.v1i2.30

Abstract

The research of growth and yield soybeans sinabung variety response on crop spacing were aims to determine the crop spacing for growth and soyben production of Sinabung variety.The experimental design used was Completely Randomize Blocks Design (CRBD) with three repetitions.factor different crop spacing consist J1 (20 x 20 ) cm, J2 (25 x 20 ) cm, J3 (25 x 25) cm. The variables measured were fresh plant weight, root wet weight, dry root weight. The results showed that the soybean, crop spacing did not significant effect on growht and yield of soybean Sinabung variety.
PERAMALAN JUMLAH KLAIM DENGAN MEMBANDINGKAN METODE DOUBLE EXPONENTIAL SMOOTHING DARI BROWN DAN DOUBLE EXPONENTIAL SMOOTHING DARI HOLT Nayla Desviona; Trima Asriyati; Ditayatul Rahayu; Bangkit Prima Yudha
Perwira Journal of Science & Engineering Vol 1 No 2 (2021)
Publisher : Universitas Perwira Purbalingga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (356.449 KB) | DOI: 10.54199/pjse.v1i2.58

Abstract

Time series model is that model uses to prediction the future with the past data, one of example of time series is exponential smoothing. Exponential smoothing is repair procedure where’s it done continuely at forecasting by new data. In this research Exponential Smoothing metode applied to forecasting amount of claim in Health BPJS at jambi with use the data since january 2018 until Juli 2021,the steps use to get output of research there are 4 steps,these are 1) Data Identification, 2) Modeling, 3) Forecasting, 4) Evaluation of Forecasting Result with MAE(Mean Absolute Error) and MSE (Mean Square Error). Brown’s model for PNS class 1: PNS class 2 : NON PNS class 1 : , NON PNS class 2 : . Holt’s model for PNS class 1: ,.PNS class 2 : NON PNS class 1 : and NON PNS class 2 : . Both of two metodes have similar good performance. but Holt’s metode has error value (MAE) more little then Brown’s metode. this thing is so important for looked considering its importance a forecasting for he best increase quality and contribution by Health BPJS at Jambi staff for future. Time series model is that model uses to prediction the future with the past data, one of example of time series is exponential smoothing. Exponential smoothing is repair procedure where’s it done continuely at forecasting by new data. In this research Exponential Smoothing metode applied to forecasting amount of claim in Health BPJS at jambi with use the data since january 2018 until Juli 2021,the steps use to get output of research there are 4 steps,these are 1) Data Identification, 2) Modeling, 3) Forecasting, 4) Evaluation of Forecasting Result with MAE(Mean Absolute Error) and MSE (Mean Square Error). Brown’s model for PNS class 1: PNS class 2 : NON PNS class 1 : , NON PNS class 2 : . Holt’s model for PNS class 1: ,.PNS class 2 : NON PNS class 1 : and NON PNS class 2 : . Both of two metodes have similar good performance. but Holt’s metode has error value (MAE) more little then Brown’s metode. this thing is so important for looked considering its importance a forecasting for he best increase quality and contribution by Health BPJS at Jambi staff for future.
ANALISIS PENDAPATAN RETRIBUSI PASAR DI KABUPATEN BANYUMAS MENGGUNAKAN UJI ANOVA SATU ARAH Agung Prabowo; Susi Susilawati; Diah Paramita Amitarwati
Perwira Journal of Science & Engineering Vol 1 No 2 (2021)
Publisher : Universitas Perwira Purbalingga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.471 KB) | DOI: 10.54199/pjse.v1i2.63

Abstract

One of the local retribution is the market retribution. This market retribution is included in the general service levy which has a potential contribution to the improvement of development and community welfare. To determine the market levy rate, the government uses the Market Levy Collection Implementation Guideline which categorizes the market into class I, II, III and IV markets. In managing market retribution, the Banyumas Regency Government gives authority to the Department of Industry and Trade. In practice, market management is divided into several service technical management units (STMU), namely (1) STMU Market for East Banyumas Region, (2) STMU Market for West Banyumas Region, (3) STMU Market for Purwokerto I Region, and (4) STMU Pasar Purwokerto II Region. Each STMU has its own working area which consists of a combination of several market classes. The purpose of this study was to analyze the market retribution income based on the STMU of the market area in Banyumas Regency. This study uses secondary data in the form of market retribution income data in January-July 2021 obtained from the Banyumas Regency Industry and Trade Office. Based on the results of the analysis with the one-way ANOVA test, it was found that there were differences in market retribution income for the four markets STMU in Banyumas Regency. The average retribution income for the STMU Pasar areas of East Banyumas, West Banyumas, Purwokerto I and Purwokerto II is IDR 119,860,439, IDR 128,914,779, IDR 77,952,250, and IDR 49,736,959.
REVIEW PERSAMAAN BLACK-SCHOLES FRAKSIONAL DIMODIFIKASI: Review The Modified Fractional Black-Scholes Equation Agus Sugandha
Perwira Journal of Science & Engineering Vol 1 No 2 (2021)
Publisher : Universitas Perwira Purbalingga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (606.863 KB) | DOI: 10.54199/pjse.v1i2.68

Abstract

This paper will discuss the solution of the fractional Black-Scholes equation which is a general form of the Black-Scholes equation and the novelty of research on the modified Black-Scholes equation. The methods for finding solutions to the fractional Black Scholes equation have been written in many international journals. The solution to the fractional Black Scholes equation in this case is reviewed by the Fractional Calculus approach. With the Fractional Calculus approach, the solution process in finding solutions to the Fractional Black Scholes equation becomes more efficient. Some of the methods used to find solutions to the Fractional Black Scholes Equation include the Sumudu transformation method, the series expansion method, the Homotopy perturbation method, the Adomian decomposition method, and the Laplace Adomian decomposition method.
PENGARUH VARIASI TEKANAN TERHADAP SIFAT KEKERASAN BAJA HASIL PLASMA KARBURASI Nota Ali Sukarno; Anton Setiawan
Perwira Journal of Science & Engineering Vol 1 No 2 (2021)
Publisher : Universitas Perwira Purbalingga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (261.014 KB) | DOI: 10.54199/pjse.v1i2.84

Abstract

Baja merupakan baja tahan karat jenis martensitik yang mempunyai sifat tahan terhadap korosi tetapi nilai kekerasan rendah. Proses Karburising terhadap Baja adalah salah satu cara untuk dapat meningkatkan kekerasannya. Untuk mencapai kekerasan yang maksimal diperluan parameter yang optimum. Tujuan penelitian ini untuk menghasilkan meterial yang tahan terhadap gesekan namun tetap ulet pada tengahnya. Penelitian ini dilakukan dengan variasi tekanan 1.2, 1.6, dan 2.0 mBar dengan suhu 500 ˚C serta waktu 3 jam. Dari hasil penelitian menunjukkan kekerasan yang terbesar atau optimum diperoleh pada tekanan 1.6 mBar, yaitu pada 201,07 HVN. Kemudian hasil dari pengamatan struktur mikro bahwa lapisan tipis terlihat di bagian luar permukaan dengan unsur karbon yang teridentifikasi sangat tipis. Dari hasil pengujian EDS menghasilkan unsur campuran karbon (C) dengan unsur- unsur lainnya seperti campuran Oksigen (O), Silikon (Si), dan Klorida (Cl) dengan besi (Fe).
PENGARUH BIG DATA PADA TATA KELOLA KOTA Ahmad Amri Nur
Perwira Journal of Science & Engineering Vol 1 No 2 (2021)
Publisher : Universitas Perwira Purbalingga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.278 KB) | DOI: 10.54199/pjse.v1i2.85

Abstract

Munculnya Teknologi Informasi dan komunikasi baru yang serba digital memungkinkan untuk menangkap, mengoleksi dan menganalisis data dalam jumlah yang besar yang disebut big data. Big data dianggap bisa mengubah tata kelola kota. Penelitian ini bertujuan untuk mengkaji big data yang bisa mengubah tata kelola perkotaan. Penelitian ini menggunakan metode deskriptif dengan pendekatan kualitatif. Kerja bibliografi, review program-program Fing dan juga Grand Lyon serta wawancara dengan aktor kunci dilakukan untuk menjawab pertanyaan penilitian ini. Hasil penelitian menunjukkan bahwa ambisi Fing untuk mengoperasionalkan kebijakan dalam pelayanan publik benar-benar bukti sebuah perangkat di mana Fing melalui big data telah mendorong manajemen perkotaan untuk memberikan teknik-teknik baru dalam hal pengolahan, penyediaan, dan pengelolaan data publik. Pembukaan data oleh Fing merangsang kemitraan publik-swasta (PPP) di antara open data platform serta warga. Keterlibatan warga negara untuk berkolaborasi dengan perusahaan swasta dan start-up dapat mengembangkan inisiatif, menciptakan nilai sosial dan ekonomi untuk meningkatkan pelayanan publik. Lainnya, berkat kehadiran big data, warga dapat dengan mudah mengumpulkan data dan memberikan pendapat mereka kepada pemerintah sehingga lebih transparan

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