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All Journal Journal of Innovation and Applied Technology Jurnal Keteknikan Pertanian Tropis dan Biosistem Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Jurnal Litbang Edusaintech
Darmanto Darmanto
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering

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Prediksi Kegagalan Statis Pipa Saluran Uap (Vapor Line) Akibat Tekanan Kerja Darmanto Darmanto; Fathur Adi Alfiansyah
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol 7, No 3 (2019)
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2019.007.03.10

Abstract

Tujuan penelitian ini adalah untuk memprediksi kegagalan statis pada salah satu pipa saluran uap (vapor line) evaporator berdasar tekanan kerja. Tekanan diamati pada salah satu pipa selama tiga hari dan dilakukan perhitungan tegangan utama (principal stress). Tegangan utama tertinggi digunakan sebagai acuan dalam menentukan kegagalan material pipa. Dua teori kegagalan digunakan adalah Teori Tegangan Geser Maksimum (Maximum Shear Stress Theory)/Tresca Theory dan Teori Energi Dsitorsi Maksimum (Maximum Distortion Energy Theory)/Von Misses-Hencky Theory. Dengan menggunakan analisis tegangan dua dimensi diperoleh nilai tegangan geser maksimum akibat tekanan, τmaks, dan tegangan efektif Von Mises, σe, masing-masing 12,42 MPa dan 10,74 MPa. Nilai kedua tegangan tersebut jauh di bawah tegangan yield masing-masing teori sehingga pipa sangat aman untuk beroperasi pada tekanan kerja yang teramati.
Pengaruh Corona Virus Disease 2019 (Covid-19) Terhadap Tren Indek Saham Sektoral: Pengaruh Corona Virus Disease 2019 (Covid-19) Terhadap Tren Indek Saham Sektoral Dwi Ayu Lusia; Darmanto Darmanto
Jurnal Litbang Edusaintech Vol. 1 No. 1 (2020): Volume 1 No 1 2020
Publisher : Litbang PWM Jawa Tengah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51402/jle.v1i1.11

Abstract

The spread of Covid-19 since April 2020 has had a high number of cases and / or number of deaths and this can spread to various regions and countries. So that the Indonesian government issued a large-scale social restriction regulation. This will have an impact on sectoral aspects in Indonesia. Therefore this study was made with the aim of knowing the effect of Covid-19 on the sectoral stock index trend and how it affects them. The data used are monthly data on sectoral stock index prices (11 sectors) from January 2010 to March 2020 (before covid-19) and April to October 2020 (ongoing covid-19). Based on a comparison between the regression coefficients before and the onset of Covid-19, it can be seen that the sectors not affected by Covid-19 are basic industry, consumer industry, development, finance, manufacturing, other industries, property and trade. The absence of covid-19 influence on the sector is evidenced by the existence of a slice between the regression coefficients between before and during covid-19. The agriculture, infrastructure and mining sectors were affected by Covid-19. The infrastructure sector has experienced a trend change from rising to being stagnant. Meanwhile, the agricultural and mining sectors experienced a trend change from down to up.
Exploratory Spatial Data Analysis Using Geoda for Regional Apparatus in Malang Regency Suci Astutik; Maria Bernadetha Theresia Mitakda; Darmanto Darmanto; Wulaida Rizky Fitrilia; Ismi Chai Runnisa; Diego Irsandy; Nisa Dwirahma Widhiasih
Journal of Innovation and Applied Technology Vol 9, No 1 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiat.2023.009.01.10

Abstract

The Malang Regency Communication and Information Office (Diskominfo) since 2019 has published the Malang Regency One Data book. Some KMSD data contain location information which is referred to as spatial data. The Malang Regency Communication and Information Office (Diskominfo) since 2019 has published the Malang Regency One Data book. Some KMSD data contain location information which is referred to as spatial data. However, the problem faced by Diskominfo is the limited Human Resources both Diskominfo and data producers (OPD) in exploring sectoral data involving spatial data and presenting it in a map. The purpose of this activity is to provide training in exploratory spatial data analysis for OPD to improve sectoral data processing capabilities, especially those containing spatial information. The training was conducted through the provision of materials and discussions on exploratory spatial data analysis and its application using the Geoda software. 
Development of tomato maturity level prediction model based on portable visible spectrometer and machine learning Dimas Firmanda Al Riza; Nughi Arie Nugraha; Darmanto Darmanto
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 6, No 3 (2023)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2023.006.03.4

Abstract

A tomato is classified as a fruit, which level of maturity is determined by its color. Upon distribution, tomatoes require sorting based on their ripeness level. Generally making improvements done conventionally with the human eye. This method has the disadvantage that the results are subjective. One way that can be used to measure the ripeness level of tomatoes is using a spectroscopic sensor. Spectroscopic sensors can predict the level of ripeness and its contents automatically. This study uses machine learning to create a model to classify ripeness level and predict firmness, total dissolved solids (TDS), and total acid in tomatoes. This study used tomatoes with 3 categories of maturity. Tomatoes were tested non-destructively, namely measuring firmness, total dissolved solids content, and total acid. The data obtained were processed using the Partial Least Square Regression method to predict firmness, TDS, and total acid, while the maturity level used the Naive Bayes method. The data processing results to predict the level of maturity using Naive Bayes obtained a success rate of 100%. While for the predictions of firmness, TDS, and total acid had R2 training and R2 testing, namely 0.685 and 0.678, 0.534 and 0.521, and 0.352 and 0.349, respectively.
Co-Authors Diego Irsandy Dimas Firmanda Al Riza Dwi Ayu Lusia Fathur Adi Alfiansyah Ismi Chai Runnisa Nisa Dwirahma Widhiasih Nughi Arie Nugraha Suci Astutik Theresia Mitakda, Maria Bernadetha Wulaida Rizky Fitrilia