bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kajian Kinerja Pemerintah Kota Bandung dalam Mendukung Pembangunan Rendah Karbon
Authors: Pramadhika Muhammad Ernanda , Syaodih Ernady 
Published: January 2023

Abstract. Low Carbon Development is one of the concepts from Paris Agreement that has emerged as a form of concern for the increasing of global temperature. In Indonesia this concept is ratified into Law Number 16 of 2016 concerning the Paris Agreement on the United Nations Framework Convention on Climate Change. However, the support from the Bandung City government to implement this concept, especially in Coblong District, is still lacking. Therefore, in this study, the author will try to identify the success rate of the Bandung City government in implementing this concept in Coblong District based on 6 indicators which include (1) Patterns of energy use, (2) Social life, (3) Carbon emissions and the environment, (4) Public mobility, (5) Waste management, (6) Water and waste management. The purpose is to identify the extent of the bandung city government's performance level towards the implementation of low-carbon development. This research uses a qualitative descriptive approach method using data triangulation. The result of this study is that the low-carbon development carried out by the Bandung City government has not been good enough. This is seen from the fact that there are still quite a lot of problems in every variable of low-carbon development.

Abstrak. Pembangunan Rendah Karbon merupakan salah satu konsep yang muncul sebagai bentuk keprihatinan terhadap meningkatnya kenaikan suhu global. Konsep ini muncul sejak di adakannya Perjanjian Paris. Di Indonesia konsep ini diratifikasi kedalam Undang-undang Nomor 16 Tahun 2016 tentang Persetujuan Paris Atas Konvensi Kerangka Kerja Perserikatan Bangsa-Bangsa mengenai Perubahan Iklim. Meskipun begitu dukungan dari pemerintah Kota Bandung untuk mengimplementasikan konsep ini khususnya di Kecamatan Coblong masih kurang. Oleh karena itu pada penelitian ini penulis akan mencoba mengidentifikasi sudah sejauh mana tingkat kinerja pemerintah Kota Bandung dalam mendukung konsep ini di Kecamatan Coblong didasarkan kepada 6 indikator yang meliputi (1) Pola pengunaan energi, (2) Kehidupan sosial, (3) Emisi karbon dan lingkungan, (4) Mobilitas publik, (5) Pengelolaan sampah, (6) Pengelolaan air dan limbah. Tujuan dari penelitian ini adalah untuk mengidentifikasi sejauh mana tingkat kinerja pemerintah Kota Bandung terhadap implementasi pembangunan rendah karbon. Penelitian ini menggunakan metode pendekatan deskriptif kualitatif dengan menggunakan triangulasi data. Hasil dari penelitian ini adalah pembangunan rendah karbon yang dilakukan pemerintah Kota Bandung belum cukup baik. Hal tersebut dilihat dari masih adanya cukup banyak masalah pada setiap variabel dari pembangunan rendah karbon.
Studi Kualitas Elemen Perancangan pada Kawasan Pemerintahan Kabupaten Bandung
Authors: Aulia Azizah Nur , Damayanti Verry 
Published: January 2023

Abstract. Bandung Regency Government Area is the face of Bandung Regency which should have a good design. in this area there are still some design elements that are of poor quality where there are still some design elements in a damaged condition or even not available as a whole the urban design elements have not been integrated with each other and have not been able to meet the needs and comfort for the users of the area. Therefore, the research was conducted with the aim that the quality of the design elements of the Bandung Regency Government Area can be accepted. To achieve this goal, the 8 aspects of Hamid Shirvani's Theory will be identified, so that the existing conditions and recommendations and future directions can be identified. The method used is a mixed research method, where several variables are used with a direct approach to see conditions in the field and literature studies and there are several variables that need to be calculated. From this analysis, it is known that overall there are still some design elements that have poor quality so that improvements need to be made in the future.

Abstrak. Kawasan Pemerintahan Kabupaten Bandung merupakan wajah dari Kabupaten Bandung yang seharusnya memiliki perancangan yang baik. Pada kawasan ini masih terdapat beberapa elemen perancangan yang secara kualitas dapat dikatakan kurang baik dimana masih terdapat beberapa elemen perancangan dalam kondisi yang rusak atau bahkan tidak tersedia sehingga secara keseluruhan elemen rancang kota belum terinterintegrasi satu sama lain dan belum bisa memenuhi kebutuhan dan kenyamanan bagi pengguna kawasan tersebut. Oleh karena itu, penelitian dilakukan dengan tujuan agar kualitas elemen perancangan pada Kawasan Pemerintahan Kabupaten Bandung dapat teridentifikasi. Untuk mencapai tujuan ini, ke 8 aspek dalam Teori Hamid Shirvani akan diidentifikasi, sehingga dapat diketahui kondisi eksisting dan perumusan rekomendasi dan arahan kedepannya. Metode yang digunakan merupakan penelitian mix methode, dimana beberapa variable digunakan dengan pendekatan langsung melihat kondisi di lapangan dan studi literatur serta terdapat beberapa variable yang perlu dilakukan perhitungan. Dari analisis tersebut diketahui bahwa secara keseluruhan masih terdapat beberapa elemen perancangan memiliki kualitas yang kurang baik sehingga perlu dilakukan perbaikan kedepannya.
Penerapan Partial Proportional Odds Model pada Kasus Usia Kawin Pertama Wanita
Authors: Khuzaimah Nadia 
Published: January 2023

Abstract.
Ordinal logistic regression is a statistical method for analyzing response variables that have ordinal data scales and consist of three or more categories, while the predictor variables used can be categorical or quantitative data. The model commonly used in ordinal logistic regression is the Proportional Odds Model (POM). POM has strong assumptions that can lead to misinterpretation if the assumptions are violated, the general assumption of the model is known as the proportional odds assumption. So that an alternative model that needs to be considered when the assumptions are not met is the Partial Proportional Odds Model (PPOM), which is a model that weakens the proportionality assumption only for some predictor variables in the model. The purpose of this study is to apply PPOM in cases of women's first marriage age and what factors affect the age at first marriage based on the PPOM model. PPOM parameter estimation using Maximum Likelihood Estimation (MLE) method obtained results that are not close-form so that Newton-Raphson iteration is needed. Based on the test results, it is found that the predictor variables that affect the age at first marriage of women are education, place of residence and economy.
Abstrak.
Regresi logistik ordinal merupakan salah satu metode statistika untuk menganalisis variabel respon yang mempunyai skala data ordinal dan terdiri dari tiga kategori atau lebih, sedangkan variabel prediktor yang digunakan dapat berupa data kategori atau kuantitatif. Model yang umum digunakan dalam regresi logistik ordinal adalah Proportional Odds Model (POM). POM mempunyai asumsi kuat yang dapat menyebabkan kesalahan interpretasi jika asumsi dilanggar, asumsi umum dari model dikenal dengan asumsi proportional odds. Sehingga model alternatif yang perlu dipertimbangkan ketika asumsi tidak terpenuhi adalah Partial Proportional Odds Model (PPOM), yakni model yang melemahkan asumsi proporsionalitas hanya untuk beberapa variabel prediktor dalam model. Tujuan penelitian ini adalah mengaplikasikan PPOM pada kasus usia kawin pertama wanita dan faktor apa saja yang mempengaruhi usia kawin pertama berdasarkan model PPOM. Estimasi parameter PPOM menggunakan metode Maximum Likelihood Estimation (MLE) diperoleh hasil yang not close-form sehingga diperlukan iterasi Newton-Raphson. Berdasarkan hasil pengujian diperoleh bahwa variabel prediktor berpengaruh terhadap usia kawin pertama wanita adalah pendidikan, tempat tinggal dan ekonomi.
Algoritma Artificial Neural Network dalam Klasifikasi Chest X-Rays Pasien COVID-19
Authors: Zain Muhamad Nurhikmat 
Published: January 2023

Abstract. Artificial neural network is a network formed based on a human neural network consisting of a summation function, activation function and goal function. Artificial neural networks can be used to recognize objects from an image. The output of the artificial neural network in this study is the result of classification. This study will classify chest x-rays of COVID-19 patients. The process of classification using sigmoid activation function for the case of binary classification. Currently, to diagnose COVID-19 using Reverse Transcription Polymerase Chain Reaction (RT-PCR). However, there are several problems with the test mechanism (RT-PCR), has to do it special tools, materials, and it takes quite a long time. Another solution that can help is, use digital images form of chest x-rays to retrieve information and recognize objects automatically using artificial neural network method. The results of chest x-rays classification using a artificial neural network method with sigmoid activation function, get an accuracy of 88%, precision of 76%, and recall of 76%.
Abstrak. Artificial neural network adalah jaringan yang dibentuk berdasarkan jaringan saraf manusia yang terdiri dari fungsi penjumlahan, fungsi aktivasi dan fungsi tujuan. Artificial neural network dapat digunakan untuk mengenali objek dari suatu citra. Output dari artificial neural network pada penelitian ini merupakan hasil klasifikasi. Penelitian ini akan melakukan klasifikasi chest x-rays pasien COVID-19. Proses klasifikasi dilakukan dengan menggunakan bantuan fungsi aktivasi sigmoid untuk kasus klasifikasi binary. Selama ini untuk mendiagnosa COVID-19 dilakukan dengan tes Reverse Transcription Polymerase Chain Reaction (RT-PCR). Namun ada beberapa masalah pada mekanisme pengujian tes (RT-PCR) diantaranya perlunya alat dan bahan khusus dan memakan waktu yang cukup lama. Solusi yang lebih cepat berbasis data sangat diperlukan dibandingkan melakukan tes (RT-PCR). Salah satu cara yang dapat membantu adalah dengan memanfaatkan citra digital berupa chest x-rays untuk mengambil informasi dan mengenali objek secara otomatis dengan menggunakan metode artificial neural network. Hasil klasifikasi chest x-rays dengan arsitektur artificial neural network yang telah dibangun mendapatkan nilai akurasi sebesar 88%, presisi sebesar 76% dan recall sebesar 76%.
Aplikasi Dashboard Pengendalian Persediaan Bahan Baku Menggunakan EOQ Probabilistik pada Pabrik Beras
Authors: Haydar Rizky , Nurrahman Ahmad Arif 
Published: January 2023

Abstract. S rice factory is a factory engaged in the food sector in the form of rice. Recording for the purchase of rice and sales of rice is still done manually, such as writing in the owner's diary for recording purchases of rice, selling rice, and also the entry or exit of goods. As a result, the owner or the parts involved also find it difficult to deal with the amount of stock inventory. The purpose of this study is to provide a proposal for an inventory system to companies using the Q model probabilistic EOQ method. And to provide an information system in the form of a Google Data Studio dashboard and a Google spreadsheet application that can facilitate recording or archiving, see the development of raw material inventory control through graphs accurately and accurately. quickly, and increase effectiveness in decision making. The development of this inventory information system uses the probabilistic economic order quantity (EOQ) method with the Q model emphasizing the results in the form of graphs, values, and indicators on the dashboard. This can make it easier for company owners to make decisions, and help with raw material inventory activities. With the use of a computerized system, it can reduce errors that occur related to inventory and can be used or managed by UMKM or the like to control stock and inventory.
Abstrak. Pabrik beras S merupakan pabrik yang bergerak di bidang pangan berupa beras. Pencatatan untuk pembelian padi maupun penjualan beras masih dilakukan secara manual seperti menulis dibuku harian pemilik untuk pencatatan pembelian padi, penjualan beras, dan juga keluar atau masuknya barang. Akibatnya pemilik atau bagian - bagian yang terlibat pun merasa kesulitan terhadap jumlah dari persediaan stok. Tujuan dari penelitian ini adalah memberikan usulan sistem persediaan kepada perusahaan dengan metode EOQ probabilistik model Q. Serta memberikan sistem informasi berupa aplikasi dashboard google data studio dan google spreadsheet yang dapat memudahkan dalam pencatatan atau pengarsipan, melihat perkembangan pengendalian persediaan bahan baku melalui grafik secara tepat dan cepat, dan meningkatkan efektifitas dalam pengambilan keputusan. Pembangunan sistem informasi persediaan persediaan barang ini menggunakan metode economic order quantity (EOQ) probabilistik dengan model Q menitikberatkan hasil dengan bentuk grafik, nilai, dan juga indikator yang terdapat pada dashboard. Hal ini dapat mempermudah pemilik perusahaan dalam mengambil keputusan, serta membantu aktivitas kegiatan persediaan bahan baku. Dengan pemakaian sistem yang telah terkomputerisasi ini dapat mengurangi kesalahan - kesalahan yang terjadi berkaitan dengan persediaan barang dan bisa dipakai atau dikelola oleh UMKM atau sejenisnya untuk mengontrol stok barang dan persediaan barang.
Perancangan Fasilitas Kerja Stasiun Kerja Pemotongan dengan Metode PEI Menggunakan Virtual Environment Modelling
Authors: Firdaus Mochamad Ridwan , As’ad Nur Rahman 
Published: January 2023

Abstract. Home Industry X is a company that produces various types of bags for daily use. In its production activities, companies often experience losses because they cannot achieve their production targets. This is caused by the cut result do not matching the pattern. This cutting error occurs due to the operator's unnatural working posture, causing complaints occured about the musculoskeletal system. Further observations on operator complaints were made using the Nordic Body Map (NBM) questionnaire and occupational risk assessment using the Posture Evaluation Index (PEI) method through virtual modeling using Jack Simulation 9.0 software. The results of the NBM questionnaire showed that there were complaints in several parts of the body. The work risk of cutting work activities shows a PEI score in the range of 2.75-3.54. The score is categorized as high because it is close to the maximum PEI value of 3.42. Based on the high work risk that occurs, a work facility is designed in the form of a cutting table with an anthropometric approach which results in a table length of 186 cm, a table width of 86 cm, a table height of 104 cm, and a floor distance of 59 cm from a storage rack. This proposal can change the operator's working attitude from squatting and bending to standing up straight and has been proven to reduce work risk. The PEI score generated using the proposed work facility is in the range of 1.12-2.01.
Abstrak. Home Industry X adalah perusahaan yang memproduksi berbagai jenis tas untuk keperluan sehari-hari. Dalam kegiatan produksinya, perusahaan kerap mengalami kerugian karena tidak dapat mencapai target produksinya. Hal ini disebabkan oleh hasil potong tidak sesuai pola. Kesalahan potong ini terjadi karena postur kerja operator yang tidak alamiah sehingga menyebabkan keluhan pada sistem muskuloskeletal. Dilakukan observasi lebih lanjut mengenai keluhan operator menggunakan kuesioner Nordic Body Map (NBM) dan penilaian risiko kerja menggunakan metode Posture Evaluation Index (PEI) melalui pemodelan virtual menggunakan software Jack Simulation 9.0. Hasil kuesioner NBM menunjukan terjadi keluhan pada beberapa bagian tubuh. Risiko kerja pada aktifitas kerja pemotongan menunjukan skor PEI pada rentang 2,75-3,54. Skor tersebut dikategorikan tinggi karena mendekati nilai maksimum PEI sebesar 3,42. Berdasarkan tingginya risiko kerja yang terjadi maka dirancang fasilitas kerja berupa meja pemotongan dengan pendekatan antropometri yang menghasilkan ukuran panjang meja sebesar 186 cm, lebar meja sebesar 86 cm, tinggi meja sebesar 104 cm, dan jarak lantai ke rak penyimpanan sebesar 59 cm. Usulan tersebut dapat merubah sikap kerja operator yang semula jongkok dan membungkak menjadi berdiri tegap dan terbukti dapat mengurangi risiko kerja. Skor PEI yang dihasilkan dengan menggunakan usulan fasilitas kerja berada pada rentang 1,12-2,01.
Indoor Air Pollution and Its Determinants in Household Settings in Jaipur, India
Authors: Dhabhai Anukrati , Sharma Arun Kumar , Dalela Gaurav , Mohanty S.S , Huda Ramesh Kumar , Gupta Rajnish 
Published: January 2023

Individuals spend 90% of their time indoors, primarily at home or at work. Indoor environmental factors have a signifcant impact on human well-being. It was a longitudinal study that assessed the major factors that reduce indoor air quality, namely particulate matter, and bio-aerosols, using low-cost sensors and the settle plate method, respectively also to determine the effect of atmospheric parameters and land use patterns in households of commercial, industrial, residential, slum, and rural areas of the city. PM2.5 concentration levels were similar in most parts of the day across all sites. PM10.0 concentration levels increased indoors in a commercial area. PM2.5 concentration showed a negative correlation with temperature and a positive correlation with relative humidity in some areas. Very high values of PM2.5 concentration and PM10.0 concentration have been observed in this study, inside households of selected rural and urban areas. Pathogenic gram-positive cocci, gram-positive rods, Aspergillus, and Mucor species were the most common bacterial and fungal species respectively found inside households. This study examined particulate matter concentration along with bio-aerosols, as very less studies have been conducted in Jaipur the capital of Rajasthan, a state in the western part of India which assessed both of these factors together to determine the indoor air quality. Rural households surrounding the periphery of the city were found to have similar pollution levels as urban households. So, this study may form the basis for reducing pollution inside households and also for taking suitable measures for the reduction of pollution in the indoor environment.
The Influence Of Environment Of Hydrilla verticilata (L.F.) Royle On The Growth And Yield Of Onion Crops (Allium ascalonicum L.)
Authors: Pratiwi Sri Hariningsih , Purnamasari Retno Tri , Tataq Kunadi 
Published: January 2023

This study aims to determinate the rigt length of immersion of Hydrilla verticilatta to produce high growth and yield of shallot plants. The research was conducted in the experimental field of the Faculty of Agriculture, University of Merdeka PAsirian, Purutrejo Village, Purworejo District, Pasuruan city in October 2019 until February 2020. The study used a randomized block design (RAK) consisting of 4 treatments and 6 replications with the following treatments : C0 : without immersion (control), C1 :immersion for 8 weeks,C2:immersion for 4 weeks,C3 : immersion for 2 weeks. The data obtained from the study were analyzed using analysis of variance, if there is real effect, then it is followed by the 5% LSD test.The result showed that Hydrilla verticilatta immersion treatment for 8 weeks was able to provide better growth and yields in all parameters and all ages of observation. The yield of shallot plants in the Hydrilla verticilatta immersion gave 8.70 tonnes ha-1, 2 weeks of Hydrilla verticilatta immersion 7.03 tonnes ha-1, bu the treatment without immersion (control) gave a lower yield of 4.44 tonnes ha-1.
SOIL MACROFAUNA AND MESOFAUNA COMMUNITY ON AGRICULTURAL LAND IN PLIKEN VILLAGE, KEMBARAN DISTRICT, BANYUMAS REGENCY
Authors: Susanto Susanto 
Published: January 2023

Soil is a habitat for various types of fauna, especially macrofauna and soil mesofauna. In general, fertile soil can be found on land used for agricultural activities. The purpose of this study was to determine and reveal the community structure of soil macrofauna and mesofauna which includes individual count, diversity, and dominance as well as environmental quality on agricultural land in Pliken Village, Kembaran District, Banyumas Regency in 2021. The study was carried out in January-June 2021. by using survey method and purposive random sampling technique. Sampling of soil macrofauna and mesofauna was carried out in three locations, namely agricultural land in the west, north, and south of the village. Data sampling was carried out in the morning (07.00-09.00 am) and at night (19.00-21.00 am) 6 times with an interval of once a month. Soil macrofauna and meofuana that had been obtained were identified using the Taxonomy and Identification Key book. An Introduction to the Study of Insects and other references related to the identification of soil macrofauna During the study, 2717 soil macrofauna were found which belong to 15 Orders, 31 Families and 40 Species, while for soil mesofauna, 500 individuals were obtained which belong to 14 Orders, 18 Families. and 21 species.The highest individual count for soil macrofauna came from the Formicideae family (86.86%), while the highest individual count for soil mesofauna came from the Isotomideae family (27%). The index of soil macrofauna diversity on agricultural land in Pliken Village ranged from 0.997- 1,789 with an average of 1,287 which means the level of diversity is moderate, while the index Soil mesofauna diversity ranges from 1.13 to 2.15 with an average of 1.65 which means the level of diversity is moderate. Soil macrofauna dominance index is moderate with a range of 0.264 - 0.546 which indicates that there is still dominance by certain soil macrofauna, namely the Formicideae (ant) family, while the soil mesofauna dominance index ranges from 0.13 to 0.38 with an average of 0.23 which indicates the absence of a predominant species. The environmental quality of agricultural land in Pliken Village is categorized as good to support the life of macrofauna and soil mesofauna. Keywords : Soil Macrofauna, Soil Mesofauna, Individual Count, Diversity, Dominance, Pliken Village Agricultural Land
Effect of ion irradiation on the resource characteristics of alloy V95 (Al – Zn – Mg – Cu)
Authors:   Institute of Electrophysics, Ural Branch of Russian Academy of Sciences, Gushchina N. V. , Ovchinnikov V. V. ,   Institute of Electrophysics, Ural Branch of Russian Academy of Sciences, Shalomov K. V. ,   Institute of Electrophysics, Ural Branch of Russian Academy of Sciences, Vichuzhanin D. I. ,   Institute of Engineering Science, Ural Branch of Russian Academy of Sciences
Published: January 2023

The study of the effect of irradiation with Ar+ ions with an energy of 20 keV, ion current density j = 200 μA/cm2 on the fatigue resistance of profiles 6 mm thick made of alloy V95 (Al – Zn – Mg – Cu) in the state of delivery: after hot pressing, quenching and artificial aging, has been carried out. It was found that irradiation with Ar+ ions fluence of 1·1016 cm–2 to an increase fatigue resistance in 6.4 times under conditions of reduced load amplitudes σ/σu = 0.3.