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Karyawan perusahaan sebagai sumber daya manusia merupakan modal penting yang harus mendapat perhatian tinggi oleh perusahaan, tak terkecuali perusahaan konstruksi. Seiring dengan pesatnya pertumbuhan sektor konstruksi, kegiatan konstruksi dilakukan secara merata di berbagai daerah di Indonesia, salah satunya di kawasan kabupaten Sukoharjo. Karyawan akan cenderung meninggalkan organisasi apabila merasa tidak puas dengan iklim kerja dan karakteristik pekerjaannya. Karyawan akan memiliki komitmen organisasi yang tinggi ketika merasa puas dengan pekerjaan, supervisi, gaji, promosi dan rekan kerja. Penelitian ini bertujuan untuk mengidentifikasi pengaruh kepuasan kerja karyawan terhadap komitmen organisasi dengan mengambil studi kasus pada perusahaan konstruksi di wilayah kecamatan Baki, Sukoharjo. Pengumpulan data dilakukan dengan menyebarkan kuesioner kepada 30 orang karyawan perusahaan konstruksi. Metode pengolahan data yang digunakan ialah regresi linier. Hasil penelitian menunjukkan bahwa terdapat hubungan positif dan signifikan antara kepuasan kerja terhadap komitmen organisasi. Kata kunci : kepuasan kerja, komitmen organisasi, karyawan konstruksi, regresi linier

This paper proposed a grape drying machine using computer vision and Multi-layer Perceptron (MLP) method. Computer vision is for taking grapes’ image on conveyor, whereas MLP is for controlling grape drying machine and classifying its output. To evaluate the proposed, a kind of grapes are put on conveyor of the machine and their images are taken every two min. Some parameters of MLP to control the drying machine includes dried grape, temperature, grape area, motor position, and motion speed. Those parameters are to adjust an appropriate MLP’s output, including motion control and heater control. Two different temperatures are employed on the machine, including 60 and 75°C. The results showed that the grape could be dried with similar area 3800 pixel at the 770th min using temperature 60°C and at the 410th min using temperature 75°C. Comparing between them, the similar ratio could also be achieved at 0.64 with different time 360 min. Indeed, the temperature setting at 75°C resulted faster drying performance.

The technology development of electrochemical energy storage devices including lithium-ion battery is urgently needed to support the increased demand for renewable energy and production growth of portable electronic devices. Extensive research on nanostructural engineering aims to improve battery performance in terms of capacity, energy density, cycling ability, and Coulombic efficiency. This review describes the concept of atomic layer deposition (ALD) and focuses on ALD for Li-ion battery. Within the last few years, interest in the nanostructured materials synthesized by ALD to enhance battery performance has rapidly improved. Given the urgent requirement for reliable materials for high battery performance, ALD is a robust method for developing and fabricating nanostructure materials for next-generation Li-ion batteries, especially in the design of anode and cathode electrodes of the batteries.

This study aims to analyze a impact empowerment of employees, organizational justice, conflict and work motivation on employee performance through case studies Mandiri Branch Office (KCP) Social Security Bank in Jakarta, Indonesia. This study adopted a causal research design and data collection methods by conducting a questionnaire survey of 41 respondents en. The sampling technique is intended is a sampling technique is saturated. The analytical tool intended is SPSS version 21. The results show that some employee authorization, organizational justice, and work motivation are related to impact positively d 's significant to employees performance. At the same time, conflict has a partial negative impact on employee performance and is not significant. In addition, employee empowerment, organizational justice, conflict and work motivation also have a significant impact on employee performance.

This research sought to assess the performance of regional financial management in Gianyar Regency during 2016-2020, as measured by the degree of fiscal decentralization ratio, the regional financial dependence ratio, the Original Regional Government Revenue effectiveness ratio, the regional financial efficiency ratio, and the regional expenditure compatibility ratio. In addition, this research also determined the regional financial capacity of Gianyar Regency, measured through the calculation of Share and Growth, the mapping of regional financial capacity, and the index of regional financial capacity. The research results revealed that the financial management performance of Gianyar Regency during 2016-2020 on average was in a bad condition. It can be seen from its low regional autonomy and its high dependency on the central government. In addition, the regional government has not been able to streamline the regional finances in which regional expenditures were greater than regional revenues. The distribution of regional budget in Gianyar Regency has not been evenly allocated so that the performance regional financial management was at worse state. However, viewed from the level of regional financial capacity, Gianyar Regency has very good potential, obstructed by its low level of Original Regional Government Revenue use to finance regional expenditures.

The quality of education can be improved by developing learning methods, curriculum development, and learning media development. One of them is learning media in the form of comics. This research aims to develop physics comics and analyze the validity of learning media of physics comics on the historical material of atomic development. The research was conducted using the R&D research model (Research and Development) with the 4-D model (Define-Design-Develop-Disseminate). Based on the stages, obtained learning media products that were declared eligible after validation by two high school physics teachers and an expert lecturer gained the average validity in the media component of 90.0%, the display of 89.2%, the material by 90.7%, and the language by 95.4%. In general, the student's responses to the use of physical comic learning media include comic physics can increase motivation in learning (88.6%), students prefer that physics learning uses comic media (88.9%), through comic media, students are introduced to atomic inventors (88.9%), and physics comics can help to understand the historical material of atomic development (83.3%). Based on the study results, learning media of physics comics on the historical material of atomic development deserves to be used in physics. The implication of this study can help other researchers as a reference related to the development of comic physics learning media.

Generation cohorts have different tendencies in purchase behaviors, especially the Generation X and the Generation Y. Although the age gap between these two generation cohorts is not wide, the Generation X has distinctive purchase behaviors that are different from the Generation Y. In the fashion business, the Generation X consumers do not consider the brands in purchasing their clothes, but they calculate the benefits in buying a clothing product. However, the Generation Y consumers consider it as a part of their social status, therefore, they position themselves in the middle class or the upper class by what they wear. The aim of this research is to investigate the different purchase behaviors of the Generation X and Y in buying fast fashion products in Surabaya. The purchase behaviors are reflected through such variables as shopping orientation, status consumption, and impulse buying. As this is a quantitative research, the data are collected using questionnaires that are distributed to 100 respondents. The respondents are chosen using the purposive sampling technique. Then, the data are tested for the validity, reliability, normality, and homogeneity. To test the hypothesis, the independent samples t-test is used. The results show that the differences between the Generation X and the Generation Y are significant in their shopping orientation and impulse buying. However, there are no significant differences in the status consump-tions.

The use of atrium in hospital buildings accelerating the patient's healing process and reduce the impression of stress on hospital buildings. However, the presence of the atrium can also pose a fire hazard because it can be a means of spreading smoke quickly. This study determines the effect of atriums in hospital buildings on the level of life safety in the event of a fire. The study was conducted at two hospitals in Bandung and Jakarta, Indonesia. The level of life safety is assessed through the difference between the time needed for the evacuation, referred to as RSET, and the time taken by smoke to cause a critical condition for occupants, called ASET, where RSET must be shorter than ASET. The analysis carried out on two physical configurations: open and closed atrium, and the results of this study showed that with an open atrium, the smoke quickly covered the evacuation route before the evacuation process completed, or ASET

Laminated Veneer Lumber (LVL) Sengon is classified as one of the engineering products having a significant increase of both physical and mechanical properties compared with Sengon solid wood. Considering its short planting years and sustainable production, Sengon wood is very potential to be used as construction materials of low-rise houses to support the housing needs in Indonesia. Creep behaviour of LVL Sengon material is one of the mechanical properties that needs to be considered. This article evaluated value of creep factor of the open web truss joist (OWTJ) LVL Sengon test and compared this experimental creep factor with the numerical results developed by FE model taking into account the viscoelastic parameters of authors' previous study. The viscoelastic parameters were based on a 217-day creep test of compression and tension parallel to the grain of LVL Sengon at 20 % of stress level that were further modeled using Prony series creep model having n equals to 3. The reduction in the modulus of elasticity over time resulted in creep deflection and creep factor values at 217 days of testing results and FE numerical analysis of the OWTJ LVL Sengon ranging from 1.50–1.54; while the predicted creep factor at 25 years of service life is 1.57 or greater than the creep factor value provided in SNI 7973: 2013 of 1.5.

The farming profession in the industrial era 4.0 is considered ancient and has no potential and bonafide. To change such a mindset, Community Service (PKM-Unmer Building Village) in collaboration with hydroganic farmer groups to make greenhouse and hydro-gas models accompanied by water flow monitoring (flow sensor), temperature, and humidity monitoring (DHT11 sensor) and electricity control (UPS). By utilizing the IoT concept in a monitoring tool that is placed in hydroganics, it can monitor the flow of water and plants in real-time. To access monitoring, the cellphone must be connected to the same wifi as the device, then enter the IP address using a mobile browser. The method of implementation used consists of three stages: preparation includes a review of partner locations, coordination, and the number of partners and existing facilities, pilot and, socialization. The results obtained from this activity are to accelerate and make it easier to control the hydroganics contained in the greenhouse in real-time. By utilizing a UPS to make the water pump always on, the equipment is not easily damaged if there is an electrical disturbance such as a blackout or short circuit. PKM-Unmer Building Village produces a pilot modeled in a greenhouse, socialization to the community and Bengkel Mimpi farmer groups, and training to make simple monitoring tools.

The flow of containers in the terminals of the Port of Tanjung Perak Surabaya has increased. The increased container flow has an impact on the pilling up of ex-wood pallets and if this left continuously it become city trash. Even though ex-wood pallets have the characteristics and potential to be developed, for that we have do upcycling. In addition, people who live in narrow homes usually discarded or replaced their old interior products because they do not fit into the new space. Therefore, people need a modular interior product that can be assembled from scratch, and can be arranged according to the needs and desires of the user, by doing upcycling to reduce the pilling up of ex-wood pallets. The design aims to knowing the characteristics and potential of ex-wood pallets, then reused into modular interior products with modules that accordance with their characteristic. The modules are connected using connectors, which can be assembled according to the user’s needs. Design thinking methods consisting of inspiration, ideation, and implementasion are carried out in this design process. The results of this design are modules and connectors that can be assembled into 12 types of products, media promotion, and booth design. This design proved that ex-wood pallets have characteristics and potential that can be develop by upcycling into modules in accordance with the characteristics of used wood pallets that can be assembled using connector into a variety of modular interior products according to the needs and desires of the user.

The cure rate for patients with Acute Myeloid Leukemia (AML) is 20-75%. Standard-dose cytarabine + (SDAC)-daunorubicine gives a remission rate of ± 60%, and the case of relapse is frequently found. In-vivo CD34 expression is a reliable and straightforward test that must evaluate AML patients' response to predict the response of chemotherapy + induction phase accurately. Differences in in-vitro CD34 expression are expected to be able to predict chemosensitivity in AML patients. An experimental post-test-only control group study was conducted from May to December 2019, and 8 AML subjects were found. Peripheral Blood Mononuclear Cells (PBMC) were isolated from peripheral blood samples of patients with AML collected in EDTA tubes. The PBMC isolated from peripheral blood were divided into two groups, and each group contained 106 PBMC cells in culture media. The control group (without treatment) and the SDAC-daunorubicine group were 0 + incubated for 4 hours at 37 C with a 5% CO2 atmosphere. The expression of CD34 was measured using FACSCaliburâ„¢, while + CD34+ percentage was calculated with CellQuestâ„¢ software. The percentage of CD34 in the control, SDAC + DNR, showed a significant difference with p < 0.001. This study showed a significant difference between the control group and the group + administered with the standard dose of cytarabine-daunorubicine with p < 0.001. The average CD34 expression in the + SDAC-DNR treatment group was higher than in the control group. CD34 markers cannot be used as predictors of chemosensitivity in the administration of chemotherapy.

Background: This study aims to develop and produce a diagnostic tool capable of detecting student misconceptions on the concept of ecosystems. Methods: This study used a research and development method with a modified 4D design (Define, Design, Develop and Disseminate) without disseminating or spreading. Data collection methods used in this research and development are observation, literature review, documentation, questionnaires, interviews and tests. Results: The results showed that the instruments developed were valid by validating 3 experts, namely material experts, evaluation and assessment experts, and linguists with an average percentage of each feasibility of 90% material expert judgment, 82% assessment expert assessment and evaluation. and 80% linguist assessment. Meanwhile, the instrument readability test showed a percentage of 63% in good category. The validity value of the instrument in general was 0.70 with the valid or high validity category, while the instrument reliability value was 0.82 with the very high category of reliability. The overall results of students' misconceptions on ecosystem material showed 23% of students experienced low-category miconceptions, 8% of students experienced no conceptual understanding, 17% of students experienced conceptual understanding, and 52% of students experienced partial understanding. Conclusion: Based on these results it can be said that the four-tier test instrument developed is feasible and can diagnose misconceptions in students

The purpose of this research is to study and analyze the characteristics of dispute resolution in a wetland environment through the integration of environmental aspects, culture and empowerment of rural communities. A life that is safe, orderly and peaceful, is the life of a human society, so that every dispute needs to be resolved. In fact, the principle of justice is simple, fast and low cost for most of the people. This research method uses a socio-juridical (socio-legal) approach using an interdisciplinary or "hybrid" approach between aspects of normative legal research with a sociological approach using qualitative analysis. Through the settlement of disputes based on deliberation to reach consensus (badamai) based on local wisdom that grows and develops in communities in wetland areas, it is hoped that it will be able to expand access to justice in rural communities and reduce the burden of cases on formal channels. This requires a forum as an institution that facilitates the settlement of disputes outside the court at the village level.

This article about scientific puppets aims to explain or describe the concept of a scientific puppet, how to make a scientific puppet, as well as the implementation and implications of puppet art as a medium of learning physics. In this case, the scientific puppet can be a learning medium for the knowledge of the history of physics scientists to students and students. The preparation of this article uses the type of descriptive qualitative research because as an interpretation and description of the concept of cultural acculturation used for learning physics, the implementation of scientific puppets as a method of learning physics. In this article produces a discussion of the concept of a scientific puppet, a puppet that presents a scientist with an actual picture of the scientist but is shaped in such a way that it is shaped like a puppet. The wayang scientist procedure starts by designing the drawings of the characters in the story to be displayed. The figures that will be used in the puppets are edited to use clothing that suits the setting of the place and atmosphere. After that, cut and placed on used cardboard so that it can be erect and given wood as a mastermind handle. The implementation of the story used is the story of a physicist J Black and JP Joule. In this case, the teacher acts as a puppeteer. The teacher uses the scientific puppet as a visual aid to present physics material through a pre-packed story. The implications of this puppet are interesting and impressive because the material of physics history is easier to understand.

The goal of community service in the second year (2020) in Pelaga village is to increase the role of tourism aware groups (Pokdarwis) and small business groups (SMEs) for the development of Pelaga Agrotourism Park-based on community. Through mentoring done by the team has been successfully created preferred tour packages and promotional tools online on Youtube, Facebook and Instagram. Agricultural products as supporting tourism produced by SME groups have been successfully improved quality and performance by using the brand Pelaga Agrotourism Park. It is hoped that the use of destination branding will increase the promotion and marketing of agribusiness products and Pelaga village as an agrotourism destination. Keywords: Pelaga Agrotourism Park, village community empowerment.

The high number of people with diabetes mellitus is due to changes in people's lifestyle, knowledge level, and awareness to do early detection of diabetes mellitus disease that is lacking, lack of physical activity, traditional dietary arrangements containing carbohydrates and fiber from vegetables to diet to the west with a composition of foods that have too much protein, fat, salt, and sugar. The purpose of the study was to find out the relationship of diet and lifestyle with blood sugar levels in the elderly with diabetes mellitus. The design of this research is crossectional analytics. The variables of this study are diet and lifestyle as independent variables as well as blood sugar levels as dependent variables. The study population is all elderly diabetes mellitus patients (> 50 years old) and can communicate well in the poly disease in dr. Moerdjito Jombang Hospital as many as 145 patients. Samples were taken with simple random sampling techniques as many as 107 respondents. The data was collected with questionnaire instruments and processed using editing, coding, scoring and tabulating and tested with linear regression tests. The results of this study showed that partially and simultaneously (simultaneously) independent variables can affect the occurrence of dependent variables due to the value of < 0.05. This indicates that modern lifestyles that often consume fast food or fast food cause an increased risk of DM disease, including consuming beverages containing artificial sweeteners and excessive consumption of carbohydrates that can increase the risk of developing DM disease higher. Unhealthy diet that is by ignoring the type, amount and schedule or frequency of consumption that can cause metabolic disorders in the body, one of which is disorders in glucose metabolism.

Although the government of Indonesia is building the cashless society, the number of e-wallet users are increasing slowly. E-wallet is becoming a common instru­ment of payments from the paper-based instruments to server-based electronic money. The aim of this research is to investigate the perceived usage of the Y Genera­tions on e-wallet based on Technological Acceptance Model (TAM) which is a power­ful model to describe single approval to the usage of a new information technology system. As a quantitative research, the data analysis is using the Partial Least Square (PLS) with the SmartPLS 3.0 software. The results show that perceived usefulness and perceived ease of use brings impacts positive significant impacts to behavioural intention to use, then, the behavioural intention to use affect a positive significant impact to perceived usage. However, a direct effect from perceived useful­ness to perceived usage shows a negative and no significant impact, meanwhile an unintended effect from perceived usefulness to perceived usage through behavioural intention to use show a positive significant impact. Finally, a direct effect from perceived ease of use to perceived usage shows a lower t-statistic value than an indi­rect effect from perceived ease of use to perceived usage through behavioural inten­tion

Critical thinking skills, namely intelligence, is needed by students in the 21st century period. Interpretation, analysis, evaluation, conclusions, and explanations are some of the cognitive indicators of critical thinking. One way to practice impressive critical thinking skills is to use comics as media. Comics are one of the benefits of improving the learning process because they have several aspects that can attract students' learning interest to understand the material to be conveyed through visualizing images and stories in comics. The research was intended to explain comic media's effectiveness to train students' critical thinking skills in learning physics. The research used a literature search in journals that can be accounted for in comic media and critical thinking skills. Data analysis techniques in library research applied descriptive qualitative research. Physics comics that are digital-based can attract students' interest because they can be used anytime and anywhere to strengthen students' critical thinking skills. The learning outcomes of students can be more effective and contextual. The literature search results obtained indicate that comic media is useful in training students' critical thinking skills.

Many people are aware of taking care of the global environment, so they demand environmentally friendly business activities. The government also has responded to the commotion by requiring companies to produce friendly and safe products or services to their customers. Hotel industries react to it by implementing the concept of green hotels. The purpose of this study is to examine whether the Internet of Things, strategic green purchasing and green operation have impacted green employee behavior in star-hotels in East Java. Eighty-two (82) questionnaires were distributed, but only 62 questionnaires were valid, with a response rate of 75.60 %. SEM-PLS (Structural Equation Modelling Partial Least Square) was used to analyze the data. The results show that the Internet of Things (IoT) has a significant impact on green hotel operation, with the T-statistic value of 0.378. green purchasing has a significant impact on green hotel operation, with the T-statistic value of 0.545, and green employee behavior, with the T-statistic value of 0.346. The Internet of things (IoT) has no significant impact on green employee behavior directly but through green hotel operation. The use of energy efficiency and the existence of good waste management as indicators of green hotel operation has an impact on green employee behavior of 0.346.

Faces is a unique region in our body that can be used as a biometric identity. Furthermore, the face between two people that have a kinship relationship may share the same face features which can be used to decide whether two people have a kinship relationship or not. In this paper, we proposed a family-aware convolutional neural network (CNN) for the visual kinship verification problem. Our proposed classifier is constructed by paralleling the state-of-the-art face recognition model and attaching two additional networks, a family-aware network, and a kinship verification network. The family-aware network weights adjusted by learning features specific to the family using deep metric learning loss while the kinship verification network use softmax loss to learn the kinship verification problem. One of the advantages of our proposed classifier is that the output of the classifier is normalized and can be represented as the probability of two images being kin or non-kin. To preserve the face recognition features extraction ability in the state-of-the-art face recognition model, we freeze the weights of the convolutional layers in the classifier for the training process. In the testing process, the family-aware network is detached to construct the final classifier. Experiments on FIW (Families In the Wild) dataset show that our proposed classifier performs better comparing with classifiers that trained without a family-aware network and the ensemble version of the classifier is comparable with several state-of-the-art methods with an average accuracy of 68.84%.

The Regional Disaster Management Agency (BPPD) has the main task of assisting the Regent in carrying out Government Affairs which is the authority of the Region and the Assistance Task for Regional Disaster Management. This task is very responsible for disaster management that occurred in Kutai Kartanegara Regency. Regarding this, evaluation of the implementation of duties and functions needs to be carried out regularly and continuously to maintain and improve the quality of services to the community. This survey activity is generally intended to determine the perception of public satisfaction with the service performance of the BPPD Kutai Kartanegara Regency. The sample in this study amounted to 120 samples spread over 5 (five) districts. The results showed that the Community Satisfaction Index in the regional disaster management agency of Kutai Kartanegara Regency based on the District. The score is declared Good based on Permen PAN & RB No.16/2014. Of the 8 Service Elements used in the IKM survey the average score was 2.805, the score was declared Good based on the PAN & RB Permen No. 16/2014. In the Complaint Handling Element, Suggestions and Inputs, for the communication media indicators for suggestions and input, a score of 1.028 was obtained or the service quality was not good based on the PAN & RB Regulation No. , Infrastructure improvement indicators Permenpan & RB No.14 / 2017 is also not good. In the product and public facilities element, a score of 2.056 was obtained, the quality of service was not good, based on Permenpan & RB No. 16/2014, while based on Permenpan & RB No.14 / 2017 it is not good. Keywords: Service Quality, Community Satisfaction, Disaster

Salak is a seasonal fruit that has high export value. The success of salak fruit exported is influence by selection process, but there is still a problem in it. The selection of salak still done manually and potentially misclassified. Research to automate the selection of salak fruit has been done before. The process of selection this salak fruits used convolutional neural network (CNN) based on image of salak fruits. The resulting of accuracy value from previous research is 70.7% for four class classification model and 81.45% for two class classification model. This research was conducted to increase accuracy value the classification of salak exported based on previous research. Accuracy improvement by changing the noise removal process to produce a better image. The changing also occur in the CNN architecture that layer convolution is more deep and with additional parameters such as Stride, Zero Padding, and Adam Optimizer. This change hopefully can increase the accuracy value of the salak classification. The results showed an accuracy value increased 22.72% from 70.70% to 93.42% for the category of four classes CNN models and increased 13,29% from 81.45% to 94.74% for category two classes.

The auditor is the most important part of the assessor component of an organization’s financial statements. People who need financial information as a basis for making decisions expect the independence of public accountants in assessing financial statements so that in order to maintain reputation, auditors are always required to be careful in maintaining audit quality. This study aims to examine the effect of task complexity on audit quality with auditor dysfunctionality as a moderating variable. The research sample used auditors who work in KAP located in Surabaya with the sampling technique using purposive sampling method. The source of research is the primary which comes from the collection of survey on respondents to obtain individual opinion. There are 66 questionnaires that meet the criteria to be sampled. Hypothesis testing uses linear regression and moderated regression analysis. The results showed that task complexity had an effect on audit quality. Dysfunctional auditors are not able to moderate the complexity of the task on audit quality

ALS Hotel and Resort applies a credit policy in its operations. The high level of credit sales owned by the hotel, which is followed by the high number of delinquent receivables, has the potential to become uncollectible accounts. Therefore, proper management of accounts receivable is required. This research aims to determine the effect of the application of accounts receivable accounting treatment on the effectiveness of accounts receivable management in minimizing the risk of uncollectible receivables at ALS Hotels and Resort. This research used data obtained through unstructured interviews, observation, and documentation. The data analysis technique used was descriptive qualitative analysis technique and quantitative descriptive. The results of this research showed that the accounting treatment for ALS Hotel and Resort accounts receivable was following the Financial Accounting Standards. Accounts receivable management effectiveness was not yet effective because hotel management has not considered all 5C principles. The receivables collection policy has not been optimal due to the receivable turnover ratio and average collection period that show sub-standard results and impact on the arrears and billing ratios. The suitability of accounting treatment for accounts receivable provides relevant information that the management of accounts receivable to minimize uncollectible receivables has not been effective.

Permasalahan transportasi biasanya berhubungan dengan pendistribusian barang dan jasa dari berbagai sentra produksi ke beberapa lokasi penjualan atau konsumen. Sampel merupakan data biaya pengiriman beras dari Distributor Beras X di daerah Kab. Karawang. Sampel tersebut kemudian diolah menggunakan metode transportasi dengan metode North West Corner (NWC) dan Software Lingo untuk mengetahui cara meminimumkan biaya setiap kali pengiriman barang. Distribusi barang berkaitan erat dengan kegiatan transportasi yang memadai. Salah satu solusi program liniear dalam pendistribusian barang adalah dengan menggunakan metode transportasi, supaya pendistribusian barang berjalan efektif dengan pengalokasian biaya yang minimum. Harapan dari dilakukannya perhitungan tersebut agar distributor dapat mengetahui biaya yang minimum untuk setiap kali pengiriman barang pada konsumen.

Background: C-reactive protein (CRP) is widely used as an early predictor of anastomotic complications such as anastomotic leakage (AL) after abdominal surgery. There are no data available regarding the AL in A.W.Sjahranie Regional General Hospital (RSUD AWS). This study analyzed the CRP values and their relationship with AL after bowel resection and anastomosis surgery at RSUD AWS Samarinda.Methods: This is an observational analytic cross-sectional study. Sample data were collected from the medical records of 40 patients who underwent bowel resection between May and December 2019. Patients were between 18-75 years old and showed clinical signs of AL. CRP laboratory data were examined on the fifth-day post-operation. After tabulation, the data were analyzed using Chi-square (Fisher’s exact) test, t-test, and receiver operating characteristic curve analysis.Results: The average sample age was 46.3 ± 1.31 years, with a 1:1 male and female ratio. The analysis showed that an increase in CRP values and white blood cell counts was not related to AL (p > 0.05). The mean CRP value of patients with AL (48.0±0.00 mg/L) was not significantly different if compared to non-AL patients (25.89 ± 18.93 mg/L) (p = 0.139). The CRP cut-off value of 36 mg/L had 100% sensitivity, 60.5% specificity, 71.7% positive predictive value and 100% negative predictive value with an area under the curve of 0.80 (p=0.153). These results showed that the CRP cut-off value of 36 mg/L couldn't be used as a predictor of AL.Conclusion: CRP level of 36 mg/L can be used as a predictor of non-AL; therefore, it can be used as a criterion for patient discharge.

This research is departing from the development of Islamic banking industry, which is growing rapidly. Moreover, the bank demanded to implement good corporate governance (GCG) in order to prevent any risk of islamic banking losses, both financial loss and reputation risk. The implementation of GCG in islamic banking industry have to meet the shariah compiance. Thus, to ensure the shariah compliance, it requires shariah supervisiory board (DPS), which it serves to maintain the bank‟s adherence to islamic principles in their activities to manage customer funds. The regulation of Bank of Indonesia no. 11/33/PBI/2009 on the implementation of GCG in islamic banks provide a comprehensive policy regarding the duties and the responsibilities of the DPS to ensure the fulfillment of islamic principles in implementation of good corporate governance in islamic banking.Keywords: Good corporate governance, Islamic Banking, Shariah Supervisiory Board, Shariah Principles, Regulation of Bank of Indonesia

The process of registering new students (PMB) for sharing information displayed on the website based PMB information system. However, constraints in the usage of the website are prospective students must monitor the website frequently to obtain information. If not accordingly a student is at risk of lagging behind the latest information. The research aims to expand a registration information system on the enrollment of student-based websites and developed into an Android-based application. So it is very easy for students to access PMB information, and registration through the Android application. This study designed an Android-based registration information system application using the waterfall method, brute force algorithm, integrated realtime firebase database and firebase storage cloud. The results of testing the brute force algorithm on the word search "S1 Informatics Engineering" with the input string "Informatics" carried out 8 steps of searching. These results by calculating the parameters of cyclomate complexity, region, and independent path from whitebox tests obtained the same results, the amount of 16. The results of testing blackbox method declared successful and as expected. So it can be concluded the development of an online smart register information apply the brute force algorithm is said to be feasible to implementation in the process of registering new students in accordance with the testing that has been done.

Good health care is a community need and is often a measure of development success. Recognizing that health services are a necessity for every citizen, the government endeavors from time to time to produce programs that can improve overall health services. Therefore, hospitals are required to always maintain trust by taking into account the needs of patients in an effort to fulfill the wishes and expectations of the services provided. Patients not only expect medical and nursing services but also expect comfort, good accommodation. Qualitative research is defined as a research procedure that produces descriptive data. Data collection using techniques indepth interview with semi-structured questions with a sample of 15 informants. From the results of the study note that services related to Waiting time get related to the speed of service procedures for patient acceptance, the accuracy of doctor arrival time and the speed of action, readiness of doctors and nurses to serve patients, distribution of medical record files from the medical record room to each poly and the ability of nurses is very influential to determine patient satisfaction by the treatment that patients get

Human–object interaction (HOI) detection is a popular computer vision task that detects interactions between humans and objects. This task can be useful in many applications that require a deeper understanding of semantic scenes. Current HOI detection networks typically consist of a feature extractor followed by detection layers comprising small filters (eg, 1 × 1 or 3 × 3). Although small filters can capture local spatial features with a few parameters, they fail to capture larger context information relevant for recognizing interactions between humans and distant objects owing to their small receptive regions. Hence, we herein propose a three‐stream HOI detection network that employs a context convolution module (CCM) in each stream branch. The CCM can capture larger contexts from input feature maps by adopting combinations of large separable convolution layers and residual‐based convolution layers without increasing the number of parameters by using fewer large separable filters. We evaluate our HOI detection method using two benchmark datasets, V‐COCO and HICO‐DET, and demonstrate its state‐of‐the‐art performance.

Alcoholic hepatitis is a common cause of non-viral hepatitis. Javanese turmeric (Curcuma xanthorrhiza) contains xanthorrhizol and curcuminoid that have antioxidant and anti-inflammatory effects. The purpose of this research was to detect the effect of Curcuma xanthorrhiza in decreasing hydropic degeneration and lymphocytes in alcohol-induced mice. This experimental research used post-test only controlled design. Randomly, 35 mice were divided into five groups. Four groups were induced by alcohol 30% of 4ml/kgBW in 10 days, and one group was normal group (negative control). Three of the four alcohol-induced groups were given Curcuma xanthorrhiza extract at doses of 42, 84, and 168 mg/kgBW in 10 days, 1 hour after alcohol induction. Mice livers were taken for Hematoxylin Eosin (HE) staining. Hydropic degeneration and lymphocytes in the liver lobules were examined under a microscope. The statistical analysis used in this research was the Kruskal-Wallis, the Mann-Whitney test, and the Independent Sample T Test. P-value is significant if 0.05). This research shows that Javanese turmeric (Curcuma xanthorrhiza) can attenuate hepatitis by decreasing hydropic degeneration and lymphocytes in alcohol-induced liver.

Highlights • Achalasia is a rare motor disorder of the oesophagus. • Achalasia is thought to arise from organ-specific autoimmunity due to vitiligo that present in the patient. • Clinical awareness is imperative when approaching an achalasia due to its similar symptom to GERD and respiratory disease, and must always be considered in autoimmune patient. • We performed Laparoscopic Heller’s myotomy and repaired with Dor’s fundoplication., Background Achalasia is a rare motor disorder of the oesophagus that typically characterized by the absence of oesophagus peristalsis and failure of swallow induced relaxation of oesophagus sphincter (LOS). The prevalence of achalasia is eight cases per million population. Presentation of case A 35-year-old woman presented with progressive dysphagia for 6 years. Her symptoms worsened in the last 14 days followed by vomiting undigested and retained food. She was previously diagnosed with a variant respiratory problem but her symptoms did not improve with medication. Clinical evaluation and investigation revealed features of multiple depigmented patches with sharply defined borders and leucotrichia on the neck, abdomen, hand, knee, and lateral malleolus. The patient had vitiligo for 18 years. The upper gastrointestinal endoscopy showed the dilatation from distal oesophagus (38 cm from incisors) with retained food. The diagnosis of achalasia was given. After laparoscopic Heller’s myotomy was performed and the opening of the oesophagus was repaired with Dor’s fundoplication, her symptoms were much improved. Discussion and conclusion We hereby report on a rare case of achalasia in a woman presenting with vitiligo which may suggest an autoimmune disorder in the onset of achalasia. Achalasia must be considered in vitiligo or any autoimmune disease presenting with the oesophagus-related problem.

Banjarnegara Regency is one of the districts in the poverty red zone in the Central Java Province. In 2019, Banjarnegara Regency was in the 7th (seventh) position of the 35 (thirty-five) poorest regencies/cities with a poverty percentage of 14.76%. This study purpose to analyze the effect of the average length of schooling, life expectancy and economic growth in the agriculture, fisheries and forestry sectors on poverty in Banjarnegara Regency in 2005-2019. The variables used are the average length of schooling, life expectancy and economic growth in the agricultural, forestry and fisheries sectors. The data used in this study is secondary data obtained from the Statistics Central Agency of Banjarnegara Regency. The results of this study are the average length of schooling and life expectancy have a negative and significant effect on poverty, while the economic growth in the agriculture, forestry and fisheries sectors does not have a significant effect on poverty. The implication of this research is that the local government of Banjarnegara Regency needs more intensive efforts from the local government to increase development in the education and health sectors with the expectation of encouraging wider learning opportunities, upraising education levels, and improving the quality of health of the population. Keywords: Poverty, Average Length of Schooling, Life Expectancy, Economic Growth in The Agricultural, Forestry and Fisheries Sectors

Based on Article 10 paragraph 1 of Law No. 14 of 2005, a teacher must have four competencies: pedagogical, personality, social, and professional. ICT training at Sunan Kalijaga State Islamic University involves instructors as educators who must have such competencies. An instructor's performance is assessed through students' learning evaluation system by giving comments to the instructions. These comments contain positive and negative sentiments that can be reviewed by conducting sentiment analysis. Research related to sentiment analysis in recent years has been widely done, but researchers rarely pay attention to the effect of sentence length from the dataset on the method's performance. This study tried to analyze sentiment related to sentence length effect on ICT training student comments using Support Vector Machine and Convolutional Neural Network methods. This study concluded that the sentence length on the dataset would affect the SVM and CNN methods' performance when combined with Word2vec. While the SVM+TFIDF method performance is not affected by sentence length, this method has the fastest process time than other methods. The CNN+Word2vec method produced the best performance in this study with a value of 0.94% accuracy, 0.95% precision, 0.96% recall, and 0.95% f1-score.

Traditional Javanese compositions contain melodies and skeletal melodies. Skeletal melodies are an extraction form of melodies. The melody extraction problem is similar to the chord detection in Western music, where chords are extracted from a melody. This research aims to develop a melody extraction system for traditional Javanese compositions. Melodies which have a time series data structure were designed as a part of the supervised learning problem to be solved using the pattern recognition technique and the Feed-Forward Neural Networks method. The melody data source uses a symbolic format in the form of sheet music. The beats in melodies data are used as the input and notes in skeletal melodies are used as the target. An FFNN multi-class classifier was built with six classes as the targets, where the class represents notes of the musical scale system. The network evaluation was conducted using accuracy, precision, recall, specificity and F-1 score measurements.

The change in learning models from conventional to online due to the impact of the COVID-19 pandemic has changed the way of thinking, methods used, paradigms and learning approaches that prioritize independent learning online with internet facilities. Through the internet all information is available, but it still has to be shared and sorted according to the needs and information to be taught to students. For this reason, competent teachers are needed, not only pedagogically, socially and professionally, but also required to master learning technology. This training is conducted to train teachers in planning, designing, developing and operating webside-based e-learning in the learning process that will be carried out with their students. The training method is designed with an online training and face-to-face approach. The approach uses hands-on exercises, tutorials and follow-up consultations. The results of the training showed an increase in the knowledge and skills of teachers about learning media. Before the training, the average understanding of teachers about learning media got a value of 52, while after being given training it became 84. Then seen from the skills of making media, before training teachers could not create website-based media, but after being given training teachers could create and develop media webside based learning.

Synchronization of dual servo motor control has become an important issue due to many applications in engineering fields, such as electric vehicle, robotics, electronics production machines, and others. This paper studies cerebellar model articulation controller (CMAC) neural network (NN) controller to synchronize two servo motors with dynamic LuGre friction model. CMAC is kind of NN method represented by associative memory with more powerful properties. Cross-coupling control structure is employed to synchronize two servo motors in this study. To investigates the performance, MATLAB Simulink is applied to simulate the control design of dual servo motor. The simulation results exhibit that CMAC controller has better output trajectory and works well for two servo motors with different parameters of LuGre friction model.

The study is based on the patterns of food consumption in the community that has not reached the minimum nutritional standard for activities. This study aimed to determine the impact of the Sustainable Food House Area (KRPL) Program on DDP score, energy consumption, protein consumption and household foodstuff expenditure in Banjarnegara Regency. Primary data were obtained from the KRPL and non-KRPL benefidciaries. Secondary data were obtained from Food Security Agency of the Ministry of Agriculture, the Central Java Province Food Security Department and the Banjarnegara Regency Food Security Department. The analytical tool used t-test between the KRPL beneficiary group and the non-KRPL beneficiary group. The analysis result indicated that there were significant differences in DDP scores, energy consumption, and foodstuff expenditure between the KRPL and non-KRPL groups. DDP score of KRPL group was higher than non-KRPL group. This indicated that consumption of the KRPL group was more diverse and nutritionally balanced. The energy consumption of the KRPL group was higher than the non-KRPL group, so that the energy adequacy of the KRPL group was closer to the recommended dietary allowance. Protein consumption in the KRPL group was higher and has met the recommended dietary allowance, while the non-KRPL group has not met the recommended dietary allowance. The foodstuff expenditure in the KRPL group was lower than the non-KRPL group because there were savings on the foodstuff expenditure. Thus, the KRPL Program has an impact on increasing DDP scores, energy consumption and savings on household food expenditure. Keywords : Sustainable Food House Area (KRPL), energy consumption, protein consumption, foodstuff expenditure, DDP score.

The rapid development of deep learning improves the detection and classification of attacks on intrusion detection systems. However, the unbalanced data issue increases the complexity of the architecture model. This study proposes a novel deep learning model to overcome the problem of classifying multi-class attacks. The deep learning model consists of two stages. The pre-tuning stage uses automatic feature extraction with a deep autoencoder. The second stage is fine-tuning using deep neural network classifiers with fully connected layers. To reduce imbalanced class data, the feature extraction was implemented using the deep autoencoder and improved focal loss function in the classifier. The model was evaluated using 3 loss functions, including cross-entropy, weighted cross-entropy, and focal losses. The results could correct the class imbalance in deep learning-based classifications. Attack classification was achieved using automatic extraction with the focal loss on the CSE-CIC-IDS2018 dataset is a high-quality classifier with 98.38% precision, 98.27% sensitivity, and 99.82% specificity.

The problem of digital image transmission lies on the size of the image which tends to get bigger, and how to satisfy the confidentiality aspects when images are transmitted via unsecured channels. To solve this problem, a cryptosystem model is proposed, using a combination of compression and cryptography methods. This research proposes the development and performance measurement of compression-encryption models, Which consists of Generative Adversarial Network and logistic map encryption. The test results also showed that this scheme is better than other color image compression-encryption algorithms, With the SSIM values above 0.97 and compression ratio above 94%.

Enterprise Resource Planning (ERP) packages are important for companies to integrate previously partial departments into one integrated system. This integrated system can incorporate data from various departments to facilitate decision making that fits the companys internal and external circumstances. The implementation of ERP in companies needs some people or key users who are able to work on the ERP system properly and correctly. The capabilities of the key users are related to soft ERP and hard ERP. Human-related abilities are called soft ERP while the equipment and tools are called hard ERP. Together, the soft ERP and hard ERP define the data integration in a company and become one entity in the well-being of communication among departments. The data for this research was collected using the likert scale. From the 100 questionnaires distributed to companies, there are 90 returned questionnaires or 90% response rate. The data processing with Java Web Start software showed the result of positive significant impact of 0.643 from soft ERP to hard ERP. The Soft ERP has a positive and significant impact of 0.262 on integrated ERP. The Soft ERP has a direct influence of 0.281 on the company performance. The Hard ERP has a positive and significant impact of 0.439 on integrated ERP. The Hard ERP has a positive and significant impact of 0.375 on firm performance. The integrated ERP has a direct influence of 0.338 on company performance. Overall, the impact of the total variables of independent Soft ERP to company performance is equal to 0.706. Therefore, the integration of ERP system brings positive and significant impacts to the business performance of manufacturing companies in East Java, Indonesia

Improving competency can be conducted through several ways, such as education, training and practical on the job training. This human resource bulding aims to develop the comprehensive quality, which includes personality aspects, mastery of knowledge and technology, and professionalism and competency. To measure teachers’ performance through students’satisfaction, Balanced Score Card (BSC) is used. In this case, it is to measure students’ satisfaction to teaching processes, which are determined by good teaching processes and teachers’competency. Teachers’ competency is divided into three components: classroom management, teacher professional development, and academic mastery. The data for this research is based on the results of the questionnaire distribution through internet to the whole students of Faculty of Economic, Petra Christian University, on 139 various subject teaching classes. The analysis is using the linear regression analysis, and it is obtained that teacher professionalism development can bring satisfaction to students during the learning processes positive and significant with 0.248. Classroom learning management contributes to the students’ satisfaction as well positive and significant with 0.371. Subject mastery, or academic mastery, is able to give satisfaction to students through learning processes positive and significant with 0.518. Simultaneously, all three variables can build up satisfaction to students, which are obtained from the survey using electronic internet method.

Detection of seizure from EEG signals may help neurologist analyze the condition of epileptic patients. Variance in types of epileptic seizures provides challenge in recognizing the pattern of seizure signals from normal ones. In this paper, we discuss the classification of seizure and non-seizure conditions in epilepsy based on bandwidth features of EEG signals. These features were extracted using Empirical Mode Decomposition (EMD). This method decomposes signal into eight Intrinsic Mode Functions (IMFs) and its residue. The IMFs is then analyzed by Hilbert transform to obtain amplitude modulation bandwidth (BAM) and frequency modulation bandwidth (BFM). These features are fed as input to Support Vector Machine (SVM). We propose to combine the first four IMFs to extract bandwidth features and we implement this method on two data sets, public data set that contains signals from both extracranial and intracranial EEG, and data set OF Rumah Sakit Universitas Airlangga (RSUA) that contains signals from extracranial EEG only. The results showed that in general, the values of accuracy and specificity using combined features of first four IMFs outperformed those using features of single IMF, for all SVM kernel functions. The best accuracy and specificity on public data set were 97.3% and 98.25% respectively using RBF kernel, while the best sensitivity was gained using polynomial kernel based on only IMF1 bandwidth features by 99.0%. The experiments on RSUA data showed that the best accuracy was 96.5% and the best specificity was 99.38% when using Mexican Hat kernel based on combined features of first four IMFs, while the best sensitivity was 94% when using polynomial kernel based on only IMF1 bandwidth features.

In this paper, we investigated dual VGG-Face convolutional neural network classifier for image-based kinship verification problems. The proposed classifier is formed by paralleling convolutional layers of VGG CNN architecture and combined it with several fully-connected layers. Although the VGG CNN architecture is consists of huge parameters, the number of parameters in the classifier will be reduced by more than 80% by removing the fully-connected layers of the original classifier. We use the multi-task loss function for the training process to ensure that the features learned by the classifier are also can be used for family classification. Experiments on the FIW kinship verification dataset show that dual VGG-Face CNN classifiers can achieve an average accuracy of 64.71% on a single classifier and 65.49% on ensemble configuration. Based on our experiments, the lowest accuracy is produced for second-generation kinship (grandchild - grandparent) which have a low number of examples on FIW kinship.

Rapid technological developments have penetrated the application of technology in the field of aquaculture. Climate Changes that are currently uncertain and beyond prediction encourage the application of technology to increase fishery production and modernization. The purpose of this study is to design a water quality monitoring system that can be monitored remotely in real-time using an internet-based smartphone/PC application. It is equipped with an early warning system to monitor the water quality set by the upper and lower thresholds. This device is based on Robotdyn Uno Wifi R3 ESP8266 with IoT technology. The alarm system uses a buzzer and LED indicator to make it understandable to fishermen. We tested the device in two stages. Results showed that the alarm system responds to all changes in water quality that exceeds the set threshold. Water quality data can be monitored with an internet-based smartphone application and updated every 15-16 seconds