bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALISIS INTEGRASI SPASIAL PASAR CABAI MERAH KERITING DI JAWA TENGAH DENGAN METODE VECTOR ERROR CORRECTION MODEL
Authors: Samantha Kenia , Tarno Tarno , Rahmawati Rita 
Published: May 2021

Curly red chili (Capsicum annuum L.) is one of commodity which has a big influence to the national economy. To maintain the price stability of curly red chili, an integrated market is needed. Spatial market integration is the level of closeness of relations between regional markets and other regional markets. Spatial market integration will be modeled by the Vector Error Correction Model (VECM) method to see the closeness of both short and long term relationships. The object of this study is the price of curly red chili for several regions in Central Java, such as Kota Semarang, Kab. Demak, Kab. Pati, and Kab. Pekalongan in the period January 2016 to December 2019 where the data has met the stationarity test at first level of difference. In Johansen's cointegration test, it was obtained 3 cointegrations, which means that in each short-term period all variables tend to adjust to each other to achieve long-term balance. Granger causality test shows that there is a two-way relationship and the relationship affects one variable to another for all variables. The VECM model obtained has the MAPE accuracy value for HCMK Semarang 15.93%, Kab. Demak 17.61%, Kab. Pati 15.88%, and Kab. Pekalongan 14.49% which can be interpreted that the performance of the model is good. Keywords: Curly Red Chili, Spatial Market Integration, VECM, Johansen's Cointegration, Granger Causality
PERAMALAN INDEKS HARGA SAHAM MENGGUNAKAN ENSEMBLE EMPIRICAL MODE DECOMPOSITION (EEMD)
Authors: Siregar Rosinar , Santoso Rukun , Kartikasari Puspita 
Published: May 2021

Stock price fluctuations make investors tend to hesitate to invest in stock markets because of an uncertain situation in the future. One method that can solve these problems is to use forecasting about the stock prices in the future. Generally, the huge size of data non linear and non stationary, and it is difficult to be interpreted in concrete. This problem can be solved by performing the decomposition process. One of decomposition method in time series data is Ensemble Empirical Mode Decomposition (EEMD). EEMD is process decomposition data into several Intrinsic Mode Function (IMF) and the IMF residue. In this research, this concept applied to data Stock Price Index in Property, Real Estate, and Construction from July 1, 2019 to July 30, 2020 as many as 272 data. Based on the results of data processing, as many as 6 IMF and IMF remaining were used as IMF forecasting and the IMF remaining in the future. The forecast was performed by choosing the best model of each IMF component and IMF remaining, used ARIMA and polynomial trend. Keywords: Time Series Data, Stock Price Index, EEMD, ARIMA, Polynomial Trend.
KLASIFIKASI PEMBERIAN KREDIT SEPEDA MOTOR MENGGUNAKAN METODE REGRESI LOGISTIK BINER DAN CHI-SQUARED AUTOMATIC INTERACTION DETECTION (CHAID) DENGAN GUI R (Studi Kasus: Kredit Sepeda Motor di PT X)
Authors: Sa'diah Chalimatus , Widiharih Tatik , Hakim Arief Rachman 
Published: May 2021

One of the factors causing the bankruptcy of a company is bad credit. Therefore, prospective customers need to be selected so that bad credit cases can be minimized. This study aims to determine the classification of credit granting to prospective customers of company X in order to reduce the risk of bad credit. The method used is the binary logistic regression method and the Chi-Squared Automatic Interaction Detection (CHAID) method. In this study, data used in November 2019 were 690 motorcycle credit data for company X in Gresik. The independent variables in this study are the factors that affect bad credit such as gender, marital status, education, employment, income, expenses, home ownership status and the dependent variable is credit status (bad and current). The analysis results show that the binary logistic regression has an accuracy value of 76.38% with an APER of 23.62%, while CHAID has an accuracy value of 93.19% with an APER of 6.81%. The accuracy value of the CHAID method is greater than the binary logistic regression method, while the APER value of the CHAID method is smaller than the binary logistic regression method. So it can be concluded that the CHAID method is better than the binary logistic regression method in classifying bad credit at company X. Keywords: Credit, Classification, Binary Logistic Regression, CHAID.
PERHITUNGAN PREMI MURNI PADA SISTEM BONUS MALUS UNTUK FREKUENSI KLAIM BERDISTRIBUSI BINOMIAL NEGATIF DAN BESAR KLAIM BERDISTRIBUSI WEIBULL PADA DATA ASURANSI KENDARAAN BERMOTOR DI INDONESIA
Authors: Adisti Rillifa Iris , Mutaqin Aceng Komarudin 
Published: May 2021

System bonus malus is one of the systems offered by an insurance company where the risk premium calculation is based on the claim history of each policyholder. In study will be discussed premium calculation in system, bonus malus where the frequency of claims has a negative binomial distribution and the size of claims is Weibull distribution on motor vehicle insurance data in Indonesia. This method will producesystem an bonus malus optimal by finding the posterior distribution using Bayes analysis. As the application material used secondary data from the recording results obtained from the general insurance company PT. XYZ in 2014, data contains data on the frequency of claims and the amount ofclaims partial loss of policyholders forinsurance products for comprehensivemotor vehicle insurance category 8 regions 3.The results of the implementation show that the premiums with the system are bonus malus optimalconsidered fair enough because the premiums paid by policyholders insurance that extends the policy in the following year is proportional to the risk it faces, where the premium to be paid by each policyholder is based on past claims history. Keywords: system bonus malus, negative binomial distribution, Weibull distribution, comprehensive, partial loss.
PEMODELAN SEMIPARAMETRIC GEOGRAPHICALLY WEIGHTED REGRESSION PADA KASUS PNEUMONIA BALITA PROVINSI JAWA TENGAH
Authors: Utami Putri Fajar , Rusgiyono Agus , Ispriyanti Dwi 
Published: May 2021

Geographical and inter-regional differences have contributed to the diversity of child pneumonia cases in Central Java, so a spatial regression modelling is formed that is called Geographically Weighted Regression (GWR). GWR is a development of linear regression by involving diverse factors geographical location, so that local parameters are produced. Sometimes, there are non-local GWR parameters. To overcome some non-local parameters, Semiparametric Geographically Weighted Regression (SGWR) is formed to develop a GWR model with local and global influences simultaneously. SGWR Model is used to estimate the model of percentage of children with pneumonia in Central Java with population density, average temperature, percentage of children with severe malnutrition, percentage of children with under the red line weight, percentage of households behave in clean and healthy lives, and percentage of children who measles immunized. SGWR models on percentage of children with pneumonia in Central Java produce locally significant variables that is population density, average temperature, and percentage of households behave in clean and healthy lives. Variable that globally significant is percentage of children with severe malnutrition. Based on Akaike Information Criterion (AIC), SGWR is a better model to analize percentage of children with pneumonia in Central Java because of smallest AIC. Keywords: Akaike Information Criterion, Geographically Weighted Regression, Semiparametric Geographically Weighted Regression
Potensi Konsorsium Sampel Air Pelabuhan Kamal dan Bittern dalam Mendegradasi Solar
Authors: Sari Harfatia Chandra Puspita , Triajie Haryo , Junaedi Abdus Salam 
Published: May 2021

Biodegradation is an alternative in overcoming oil pollution biologically. Utilization of bacteria obtained from contaminated (indigenous) areas is known to be more effective in the degradation process. This study aims to determine the characteristics of indigenous bacteria that have been isolated from Kamal harbor water samples, and the consortium will be compared with the consortium of bacteria isolated from salt waste water (bittern) samples to determine their ability to degrade diesel pollutants. The method used in this research is the enrichment method, to obtain bacterial isolates. The consortium was treated with solar concentrations of 1%, 1.5%, 2%, 2.5%, and 3%. The results showed that 4 types of bacteria were obtained (BI.1, BI.2, BI.3, and BI. 4) from Kamal harbor waters with different macroscopic and microscopic characteristics. The highest %total petroleum hydrocarbons (TPH) reduction by the indigenous consortium was in the 3% diesel treatment with a value of 3.87, while in the bittern consortium there was 2.5% diesel treatment with a value of 3.34. Biodegradasi merupakan salah satu alternatif dalam menanggulangi pencemaran minyak secara biologis. Pemanfaatan bakteri yang diperoleh dari area pencemaran (indigenous)diketahui akan lebih efektif dalam proses degradasi. Penelitian ini bertujuan untuk mengetahui karakteristik bakteri yang berhasil diisolasi dari sampel air pelabuhan kamal, dan konsorsiumnya akan dibandingkan dengan konsorsium bakteri yang berhasil diisolasi dari sampel air limbah garam (bittern) guna mengetahui kemampuannya dalam mendegradasi bahan pencemar solar. Metode yang digunakan dalam penelitian yaitu metode enrichment, untuk memperoleh isolat bakteri. Konsorsium diberi perlakuan dengan konsentrasi solar 1%, 1,5%, 2%, 2,5%, dan 3%. Hasli penelitian menunjukkan diperoleh 4 jenis bakteri (BI.1, BI.2, BI.3, dan BI.4) dari perairan pelabuhan kamal dengan karakteristik makroskopis dan mikroskopis yang berbeda-beda. Penurunan %total petroleum hidrokarbon (TPH) tertinggi oleh konsorsium indigenous terdapat pada perlakuan solar 3% dengan nilai sebesar 3,87, sedangkan pada konsorsium bittern terdapat pada perlakuan solar 2,5% dengan nilai sebesar 3,34.
Keterkaitan Megabentos yang Berasosiasi dengan Padang Lamun terhadap Karakteristik Lingkungan di Perairan Jepara
Authors: Riniatsih Ita , Ambariyanto Ambariyanto , Yudiati Ervia 
Published: May 2021

Seagrass bed are one of the ecosistems in shallow waters that can support the biodiversity of marine organisms. Megabenthos as benthic organisms that usually live in association in seagrass beds, have an important role in the food web in their habitat. This study aims to analyse the diversity of megabenthos associated with their habitat characteristics in seagrass waters in Bandengan, Teluk Awur and Panjang Island Jepara. This research was conducted using a descriptive field method, and megabenthos data collecting was carried out using the line transect method. Thr result showed that 158 individuals from 8 species of megabenthos were found (from 2 phyla: Echinodermata and Molluska) from three observation locations. Condition factors that influence the abundance and diversity of megabenthos are the substrat type and seagrass cover. Padang lamun sebagai salah satu ekosistem di perairan laut dangkal dapat menopang keanekaragaman hayati organisme laut. Megabentos yang termasuk dalam organisme bentik merupakan organisme yang biasa hidup berasosiasi di padang lamun, mempunyai peranan penting dalam jaring-jaring makanan di habitatnya. Penelitian ini bertujuan untuk menganalisa keanekaragaman megabentos dikaitkan dengan karakteristik habitatnya di perairan padang lamun di Bandengan, Teluk Awur dan Pulau Panjang Jepara. Penelitian ini dilakukan dengan metoda deskriptif lapangan, dan pengambilan data megabentos dilakukan dengan metoda line transek. Hasil pengamatan menunjukkan ditemukan 158 individu dari 8 spesies megabentos (dari 2 filum: Echinodermata dan Molluska) dari ketiga lokasi pengamatan. Faktor kondisi yang berpengaruh terhadap kelimpahan dan keanekaragaman megabentos adalah jenis substrat dasar dan tutupan lamun.
Identifikasi Arus Pasang Surut di Perairan Kemujan, Karimunjawa Berdasarkan Data Pengukuran Acoustic Doppler Current Profiler
Authors: Indrayanti Elis , Sugianto Denny Nugroho , Purwanto Purwanto , Siagian Hendry Syahputra  Ropinus 
Published: May 2021

Ocean currents are dynamic hydro-oceanographic parameters which is play an important role in the transport of nutrients, larvae, sediment, and so on. Therefore, the identification of ocean currents including velocity, direction, sea level and the type of currents important to be studied. The research was conducted in Kemujan Water, Karimunjawa. Data for this research is based on velocity data measured using the Acoustic Doppler Current Profiler (ADCP) for 3 x 24 hours. Furthermore, the raw data of the measurement are analyzed using least square methods to obtain the characteristic of tidal current. The total current is separated into tidal currents and residual current (non-tidal currents). Result shown that the characteristic of current in Kemujan Water, Karimunjawa was tidal current. Tidal current moves bi-directional, toward the northeast and the southwest.. Arus laut merupakan parameter hidro-oseanografi yang dinamis dan mempunyai peran penting dalam transpor nutrien, larva, material, dan lain sebagainya. Oleh karena itu identifikasi arus laut meliputi kecepatan, arah, elevasi muka air laut dan tipe arus laut perlu untuk dikaji. Penelitian dilaksanakan di Perairan Kemujan yang merupakan salah satu gugusan pulau di Karimunjawa. Data yang dianalisa merupakan data kecepatan arus hasil pengukuran langsung menggunakan Acoustic Doppler Current Profiler (ADCP) selama 3x24 jam. Selanjutnya raw data hasil pengukuran diolah dengan metode least square untuk mengetahui karakteristik arus. Arus total dipisahkan menjadi arus pasang surut dan arus non-pasang surut (residu). Hasil penelitian menunjukkan bahwa prosentase arus pasang surut lebih besar dari arus residu, sehingga arus di Perairan Kemujan, Karimunjawa teridentifikasi sebagai arus pasang surut. Arus bergerak secara bertolak belakang (bi-directional) yaitu pada saat surut menuju pasang arah arus menuju ke timur laut dan pada saat pasang menuju surut arah arus menuju ke barat daya.
Transformation of Calcium Carbonate Polymorph From Various Type of Shells by Carbonation Methods
Authors: Muljani Srie , Saputra Erwan Adi , Sumada Ketut 
Published: May 2021

The utilization of shells can reduce the accumulation of shell wastes and increase the value of shells to achieve ecological and economic incentives. This study examines the transformation of calcium carbonate polymorph from several types of shells to understand the causes of their characteristics in order to suitable for their use. The types of shells used in this experiment are selected based on consumable and their habitats such as snail shells, crab shells, eggshells, batik mussels shells, and golden conch shells. The prepared shells calcinate at 900 °C, the reaction with hydrochloric acid, and carbonation by flowing CO2 into a stirred reactor to produce precipitated CaCO3. The characteristics of polymorph CaCO3 in the sintering temperature of 30, 50, and 70 ℃ were identified by XRD, FTIR, and SEM morphological. The result is that the polymorphs formed from each shell are different in shape, size, and crystallinity. At the temperature of 70 ℃, the rhombohedral calcite was obtained from snail shells, the cubic calcite was obtained from batik mussel shell, while rhombohedral calcite multilayers obtained (100%) from golden conch shells. The aragonite was obtained from batik mussel shells at 30 and 70 ℃. The pure vaterite (100%) was obtained from snail shells and crab shells at 50 ℃. The characteristic of polymorph formed might be useful as information for more suitable applications, especially as nano-bio materials, optical, or filler
The Stability Analyze of KM. Rejeki Baru Kharisma of Tarakan – Tanjung Selor Route
Authors: Alamsyah Alamsyah , Zulkarnaen Zen , Suardi Suardi 
Published: June 2021

Ship stability that is not according to the IMO standard will make the ship capsize when operating. The purpose of this research is to determine the cause of the overturn in terms of the stability criteria of the ship. The method used is software of simulation. Stability analysis is carried out with the load case that occurs in the field when an accident occurs and the ideal loadcase according to PM 104 2017 standards about’s the transportation of operation. The results showed is cargo of goods placed on the roof top (loadcase 1) based on the criteria of Intact Stability; area of the stability arm curve at heeling 0° ~ 30° = 0.9417 m.deg, area 0° ~ 40° = 1,0200 m.deg, 30° ~ 40° = 0.0783 m.deg, GZ value at heeling 30° = 0.029 m, angle of occurrence of maximum GZ = 21.8°, and the initial GMt value = 0.135 m, the results stated that all did not meet the Intact Stability code A.749 criteria, while in it was obtained cargo of goods placed in the hull (loadcase 2) based on Intact Stability; area of the stability arm curve at heeling 0° ~ 30° = 4.5338 m.deg, area 0° ~ 40° = 7.1643 m.deg, area 30° ~ 40° = 2.6305 m.deg, GZ value at heeling 30° = 0.265 m, angle of occurrence of maximum GZ = 34.5°, and the initial GMt value = 0.621 m, the results stated that all met the Intact Stability code A.749 criteria
Application of SERS quantitative analysis method in food safety detection
Authors: Zhou Hualan , Li Xiaodi , Wang Lehui , Liang Yingfang , Jialading Aikedan , Wang Zishuo , Zhang Jianguo 
Published: May 2021

Abstract
Food safety and quality have gained much attention and the capability to evaluate food quality and safety in a sensitive, rapid, and reliable manner is of great importance in the food industry. Surface-enhanced Raman scattering (SERS) with the advantages of excellent sensitivity, high selectivity, non-destructive nature, and significant enhancement to identify the target has demonstrated a great potential for quick detection of the food sample. The enhancement of Raman signals for SERS is not only related to the interactions between substrates and samples but also the functionalization of substrates to gain SERS active substrates. In the present review, this paper summarized the progress of SERS quantitative analysis and application in food safety detection. The future trends and perspectives were also given.
Constructing a new cost structure using time-driven activity-based costing for replanting at palm oil plantation
Authors: Mohd Zaini Sri Nur Areena , Abu Mohd Yazid 
Published: May 2021

The palm oil industry in Malaysia is undeniably the pride of the country. However, in this plantation there are currently few issues which do not set up a time equation to interpret the variance of activities, the rate setting did not illustrate the correlation between the resources provided and the practical capacity, and the manager had no tool in place to monitor the unused capacity. In order to increase precision in the field of palm oil plantation, this work aims to develop a new cost structure. Time-driven activity-based costing (TDABC) has been introduced because it allows time output to be efficiently assessed, the idle capacity accurately defined, and the unused capacity separately to be recorded. This provides an overview of functional tools and their associated costs as well as measurement methods and facilitates quality improvement. This work focused only on replanting field and the plantation located in Pahang. The maximum replanting capacity cost rate (CCR), with 288600 minutes and 0.106 RM / minute, was subsequently successfully developed. Finally, the manager can observe that 68358.45 minutes of utilized capacity could be used for the systematic development of replanting capacity planning.
Loose Fruit Collector Machine in Malaysia: A Review
Authors: Mohd Yusoff Mohd Zulfahmi 
Published: May 2021

Malaysia is the world’s second largest producer of palm oil after Indonesia. There are six main processes in most commercial palm oil production. In harvesting, the collection of loose fruit is an important process because the loose fruit contain the highest percentage of oil compared to fresh fruit bunch. Thus, the loose fruit collection process needs to be taken into consideration. In order to properly manage the collection of clean loose fruit, there is a need for a loose fruit-collecting machine that can collect the loose fruit efficiently. In this paper, a loose fruit collecting machine and roller type oil palm loose fruit picker in Malaysia are reviewed and the advantages and disadvantages of these two machines categories are discussed. These two machines could provide significant advantages to the industry by increasing productivity through the efficient collection of loose fruit.

Keywords: Oil palm, loose fruit, fresh fruit bunch
Coming Home: A Journey Through the Trans-Systematic Knowledge Systems
Authors: Henderson Sakej , Little Bear Leroy 
Published: June 2021

In the Exchanges, we present conversations with scholars and practitioners of community engagement, responses to previously published material, and other reflections on various aspects of community-engaged scholarship meant to provoke further dialogue and discussion. In this section, we invite our readers to offer their thoughts and ideas on the meanings and understandings of engaged scholarship, as practiced in local or faraway communities, diverse cultural settings, and in various disciplinary contexts. We especially welcome community-based scholars’ views and opinions on their collaborations with university-based partners in particular and engaged scholarship in general.
In this issue, we present a discussion between Sa’ke’j James Youngblood Henderson and Dr. Leroy Little Bear from November 2020.