bluuebunny/crossref_metadata_2025 huggingface dataset:
RANCANG BANGUN ALAT MONITORING PANEL SURYA BERBASIS ARDUINO UNO DENGAN PROGRAM PLX-DAQ
Authors: Muhamad Rizky Kurniawan  , Muhammad Rif’an  , Imam Arif Raharjo
Published: July 2021

Penelitian ini bertujuan untuk membuat alat monitoring panel surya berbasis arduino uno untuk menghasilkan data arus, tegangan, dan intensitas radiasi yang akan digunakan memonitoring pembangkit listrik tenaga surya secara otomatis. Penelitian  ini  dilaksanakan  di  gedung pusat inovasi LIPI, Cibinong, Bogor, Jawa Barat pada bulan Desember 2016 – Januari 2017. Metode yang digunakan adalah metode eksperimen yaitu menghubungkan sensor dengan arduino uno, kemudian dihubungkan ke komputer server dengan menggunakan sinyal radio frekuensi menggunakan XBee. Langkah yang dilakukan adalah membuat program alat, lalu membuat hardware alat, membuat interface dengan PLX-DQA. Pengujian dilakukan pada hardware dan software. Dari hasil pengujian, alat ukur multimeter pengujian beban led 3 watt dengan rata – rata tegangan 6,27 V dan arus 0,022 A. Pengujian alat monitoring dengan rata- rata 6,61 V dan arus memiliki rata- rata 0,027 A. Dengan eror untuk ampere adalah 18 % dan eror untuk voltase adalah 5,1 %.
HUBUNGAN HASIL BELAJAR GAMBAR TEKNIK DAN MOTIVASI KERJA SISWA DENGAN HASIL BELAJAR INSTALASI PENERANGAN LISTRIK DALAM PROGRAM KEAHLIAN TEKNIK INSTALASI TENAGA LISTRIK KELAS XI DI SMK NEGERI 55 JAKARTA TAHUN AJARAN 2019/2020
Authors: Annisa Inggerid Tara Dia  , Faried Wadjdi  , Aris Sunawar
Published: July 2021

This study aimed to describe the correlation between electrical drawing learning outcomes and student motivation to work with electrical lighting installation learning outcomes of class XI TITL of SMKN 55 Jakarta with a sample of 92 students using the ex-post facto research method. The data analysis were collected by questionnaire and documentation. Based on the result of the analysis of these data, there is a linear and normal distribution. This research using method of hypothesis is Product Moment Correlation. Based on the result, the correlation value are ryx1=0,400, ryx2=0,334, ryx1x2=0,513, rtable=0,205 (rcount > rtable  5%) means (1) There is a positive correlation of engineering draw learning outcomes with electrical lighting installation learning outcomes. (2) There is positive correlation of student work motivation with electrical lighting installation learning outcomes (3) There is positive correlation of engineering draw learning outcomes and student work motivation with electrical lighting installation learning outcomes. Based on result, the higher electrical drawing learning outcomes and student motivation to work are then electrical lighting installation learning outcomes of class XI TITL of SMKN 55 Jakarta as well.

 

Abstrak

Tujuan penelitian ini untuk mengetahui adanya hubungan hasil belajar gambar teknik dan motivasi kerja siswa dengan hasil belajar instalasi penerangan listrik kelas XI TITL di SMKN 55 Jakarta dengan sampel sebanyak 92 siswa yang menggunakan metode penelitian ex-post facto. Teknik pengumpulan data menggunakan angket dan dokumentasi. Hasil pengujian prasyarat analisis menyatakan bahwa data penelitian bersifat linier dan berdistribusi normal. Pengujian hipotesis penelitian menggunaka n uji korelasi product moment. Hasil pengujian hipotesis penelitian ini terlihat dari nilai korelasi ryx1=0,400, ryx2=0,334, ryx1x2=0,513 dengan rtabel=0,205 (rhitung > rtabel 5%) yang artinya (1) Terdapat hubungan yang positif antara hasil belajar gambar teknik dengan hasil belajar instalasi penerangan listrik. (2) Terdapat hubungan yang positif antara motivasi kerja siswa dengan hasil belajar instalasi penerangan listrik. (3) Terdapat hubungan yang positif antara hasil belajar gambar teknik dan motivasi kerja siswa dengan hasil belajar instalasi penerangan listrik kelas XI TITL di SMKN 55 Jakarta. Berdasarkan hasil tersebut, disimpulkan bahwa semakin tinggi hasil belajar gambar teknik dan motivasi kerja siswa maka akan meningkat pula hasil belajar instalasi penerangan listrik siswa kelas XI Program Keahlian Teknik Instalasi Penerangan Listrik di SMK Negeri 55 Jakarta.
Kimmeridgian and early Tithonian cephalopods from the Kisújbánya Limestone Formation, Zengővárkony (Mecsek Mountains, southern Hungary), their faunal composition, palaeobiogeographic affinities, and taphonomic character
Authors: Bujtor László , Albrecht Richárd , Farkas Csaba , Makó Bertalan , Maróti Dávid , Miklósy Ákos
Published: July 2021

A new collection at Zengővárkony (Mecsek Mountains, Hungary) provided a rich and diverse but poorly preserved cephalopod-dominated fossil assemblage representing the Kimmeridgian and the lower Tithonian. The material came from mixed scree, soil, and amongst roots affected by weathering processes having been exposed to the elements for a long time. The nautiloid Pseudaganides strambergensis is the first record from the Mecsek Mountains. Due to the weathering, the ammonite fauna consists of mainly fragmentary and dissolved individuals that comprises 528 specimens belonging to 34 species and 30 genera out of which 20 species and 15 genera are reported for the first time from the Mecsek Mountains. The fauna includes specimens of known taxa. No new taxa are introduced. Based on the comparison with other faunas, this assemblage most closely resembles the fauna of the Venetian Alps (Italy). Additional faunal elements include aptychi (Laevaptychus latus, Lamellaptychus murocostatus), belemnites (Hibolithes semisulcatus), and an indetermined brachiopod. The first record of Spiraserpula spirolinites, an encrusting fossil polychaete preserved on the internal mould of a Taramelliceras shell fragment indicates favourable bottom conditions for the epifauna. The presence of Aspidoceras caletanum, Gravesia aff. gigas, and Pseudowaagenia inerme indicates faunal connections with the Submediterranean Province of the Tethys, which is in line with the tectonic and palaeogeographical position of the Mecsek Zone during the Late Jurassic. The ammonite assemblage represents elements of five Tethysian ammonite zones of the Kimmeridgian and Tithonian. The lower Kimmeridgian Herbichi Zone is indicated by Streblites tenuilobatus and Praesimoceras herbichi. The upper Kimmeridgian Acanthicum Zone is indicated by Aspidoceras acanthicum, and the Cavouri Zone by Mesosimoceras cavouri and Aspidoceras caletanum. The upper Kimmeridgian Beckeri Zone is suggested by Hybonoticeras pressulum and Pseudowaagenia inerme. Whereas Gravesia aff. gigas, Lithacoceras aff. siliceum, and Malagasites? denseplicatus are faunal elements characterising the Early Tithonian Hybonotum Zone. Phylloceratid and lytoceratid specimens account only for 12% of the fauna, while the majority of the specimens belong to the Oppeliidae and Ataxioceratidae (60%).
The Hanging Chin Sign As A Mortality Predictor In Geriatric Patients At The Emergency Department: A Retrospective Cohort Study
Authors: Huijgens Anneloes NJ , Baardewijk Laurens J van , Keijsers Carolina JPW
Published: July 2021

BACKGROUND: At the emergency department, there is a need for an instrument which is quick and easy to use to identify geriatric patients with the highest risk of mortality. The so- called ‘hanging chin sign’, meaning that the mandibula is seen to project over one or more ribs on the chest X-ray, could be such an instrument. This study aims to investigate whether the hanging chin sign is a predictor of mortality in geriatric patients admitted through the emergency department. METHODS: We performed an observational retrospective cohort study in a Dutch teaching hospital. Patients of ≥ 65 years who were admitted to the geriatric ward following an emergency department visit were included. The primary outcome of this study was mortality. Secondary outcomes included the length of admission, discharge destination and the reliability compared to patient-related variables and the APOP screener.RESULTS: 396 patients were included in the analysis. Mean follow up was 300 days; 207 patients (52%) died during follow up. The hanging chin sign was present in 85 patients (21%). Patients with the hanging chin sign have a significantly higher mortality risk during admission (OR 2.94 (1.61 to 5.39), p < 0.001), within 30 days (OR 2.49 (1.44 to 4.31), p = 0.001), within 90 days (OR 2.16 (1.31 to 3.56), p = 0.002) and within end of follow up (OR 2.87 (1.70 to 4.84),p < 0.001). A chest X-ray without a PA view or lateral view was also associated with mortality. This technical detail of the chest x-ray and the hanging chin sign both showed a stronger association with mortality than patient-related variables or the APOP screener. CONCLUSIONS: The hanging chin sign and other details of the chest x-ray were strong predictors of mortality in geriatric patients presenting at the emergency department. Compared to other known predictors, they seem to do even better in predicting mortality.
Image Super Resolution Reconstruction Based on Improved Invertible Rescaling Net
Authors: Mo Taiping , Chen Dehong
Published: July 2021

The Invertible Rescaling Net (IRN) is modeling image downscaling and upscaling as a unified task to alleviate the ill-posed problem in the super-resolution task. However, the ability of potential variables of the model embedded high-frequency information is general, which affects the performance of the reconstructed image. In order to improve the ability of embedding high-frequency information and further reduce the complexity of the model, the potential variables and feature extraction of key components of IRN are improved. Attention mechanism and dilated convolution are used to improve the feature extraction block, reduce the parameters of feature extraction block, and allocate more attention to the image details. The high frequency sub-band interpolation method of wavelet domain is used to improve the potential variables, process and save the image edge, and enhance the ability of embedding high frequency information. Experimental results show that compared with IRN model, improved model has less complexity and excellent performance.
Brain Tumors Detection By Using Convolutional Neural Networks and Selection of Thresholds By Histogram Selection
Authors: Aprianto Kasiful
Published: July 2021

Brain tumors in medical images have a high diversity in terms of shape and size. Some of the data found a form between the tumor tissue and normal tissue, whereas knowing the tumor’s profile and characteristics becomes a crucial part of searching. By using machine learning capabilities, where machines are given several variables and provide decisions to a certain degree, they have broadly given decisions that support subject matter in making decisions. This study applies the threshold selection method using histogram selection on CT scan data, while the appropriate threshold selection method selects the tumor position accordingly. Furthermore, the Convolutional Neural Network (CNN) is used to classify whether the selected image is a tumor or not. Using CT scan data and calculated experiments, this algorithm can finally be approved and given a brain classification with an accuracy of 75.42 percent.
The Stock Exchange Prediction using Machine Learning Techniques: A Comprehensive and Systematic Literature Review
Authors: Wiranata Rico Bayu , Djunaidy Arif
Published: July 2021

This literature review identifies and analyzes research topic trends, types of data sets, learning algorithm, methods improvements, and frameworks used in stock exchange prediction. A total of 81 studies were investigated, which were published regarding stock predictions in the period January 2015 to June 2020 which took into account the inclusion and exclusion criteria. The literature review methodology is carried out in three major phases: review planning, implementation, and report preparation, in nine steps from defining systematic review requirements to presentation of results. Estimation or regression, clustering, association, classification, and preprocessing analysis of data sets are the five main focuses revealed in the main study of stock prediction research. The classification method gets a share of 35.80% from related studies, the estimation method is 56.79%, data analytics is 4.94%, the rest is clustering and association is 1.23%. Furthermore, the use of the technical indicator data set is 74.07%, the rest are combinations of datasets. To develop a stock prediction model 48 different methods have been applied, 9 of the most widely applied methods were identified. The best method in terms of accuracy and also small error rate such as SVM, DNN, CNN, RNN, LSTM, bagging ensembles such as RF, boosting ensembles such as XGBoost, ensemble majority vote and the meta-learner approach is ensemble Stacking. Several techniques are proposed to improve prediction accuracy by combining several methods, using boosting algorithms, adding feature selection and using parameter and hyper-parameter optimization.
Facial Expression Recognition using Residual Convnet with Image Augmentations
Authors: Rahadika Fadhil Yusuf , Yudistira Novanto , Sari Yuita Arum
Published: July 2021

During the COVID-19 pandemic, many offline activities are turned into online activities via video meetings to prevent the spread of the COVID 19 virus. In the online video meeting, some micro-interactions are missing when compared to direct social interactions. The use of machines to assist facial expression recognition in online video meetings is expected to increase understanding of the interactions among users. Many studies have shown that CNN-based neural networks are quite effective and accurate in image classification. In this study, some open facial expression datasets were used to train CNN-based neural networks with a total number of training data of 342,497 images. This study gets the best results using ResNet-50 architecture with Mish activation function and Accuracy Booster Plus block. This architecture is trained using the Ranger and Gradient Centralization optimization method for 60000 steps with a batch size of 256. The best results from the training result in accuracy of AffectNet validation data of 0.5972, FERPlus validation data of 0.8636, FERPlus test data of 0.8488, and RAF-DB test data of 0.8879. From this study, the proposed method outperformed plain ResNet in all test scenarios without transfer learning, and there is a potential for better performance with the pre-training model. The code is available at https://github.com/yusufrahadika-facial-expressions-essay.
The Calculation of Expense Reduction based on the Efficiency of Cyclone by Computational Fluid Dynamic
Authors: Wahyudi Dhany Eko , Nur’aini Syarifa , Dewi Wulandari Kusuma , Aisyah Retno Mardiyah , Septiani Eka Lutfi
Published: July 2021

The rotary kiln in cement industries used hot air (temperature 14500C)  for doing a reaction to form a clinker. The outlet hot air from the combustion reaction in the kiln is reused to decrease the water content of coal in the coal mill. However, the hot air that contained ash will affect the drying process in the coal mills will not reach the maximum point. Therefore, the hot air needs treatment to separate the hot air and particle. The hot air is carried out to the cyclone. The goal of this study is to investigate the efficiency work of cyclones in cement industries using the CFD method. Besides, the other goal of this research will convey the expense that is reduced in decreasing the ash content in hot air. In general, the good cyclone has the low-pressure drop, the turbulence model using Reynold Average Navier Stokes (RANS) simulation,k-ε standard, with the Lagrangian model to solve the problem in particle lane. The result of this study is showing the pattern of the ash in cyclones,  the pressure in cyclones, and the efficiency of cyclones. The number of efficiencies will affect the reduction of expense in this section.
Analysis on Nylon 6/6 Camshaft Gear Temperature Simulation In A 1.1 Kva Elepaq Generator Using Inventor and ANSYS
Authors: Sanni Olalekan Abdulrahim , Oke Sunday Ayoola
Published: July 2021

Camshaft gear temperature simulations are presently crucial as they offer a distinctive visual account of the temperature profile within the generator, they permit superior manufacturing assessment and the design of heat-resistant camshaft gear with high performance and low cost. However, available information to designers is inadequate as they omit the approximate global maximum temperature, particularly for the nylon 6/6 camshaft gear in a 1.1 kVA elepaq generator. In this article, the idea is to simulate and account for the global minimum and maximum temperature using the Inventor and ANSYS software. The stress-induced on the generator was considered. The results of the simulation revealed an approximate global maximum temperature of the nylon 6/6 camshaft gear as 37°C max with 22°C min. Furthermore, the global minimum at 35°C max with 21°C min was considered. Besides, the structural steel global maximum of 38°C max, 25°C min and global minimum 35°C max, 24°C min. The stress values did not exceed 0.1419 MPa on ANSYS but the ANSYS revealed that the camshaft gear strain was within safe limits. The simulation approach predicts the minimum and maximum temperature of the nylon 6/6 camshaft gear and the stress and strain values. The utility of this attempt is to help designers to implement effective decisions on material choice and design parameters for optimisation, performance and low-cost design.
The Effect of Solution Treatment on Mechanical Properties and Micro Structure of Zr-10Ti-Sn Alloy for Screw Dental Implant Application
Authors: Utami Deva Ayu , Mulyani R. Henny , Prajitno Djoko Hadi
Published: July 2021

The research was to investigate the effect of solution treatment on the mechanical properties and microstructure of Zr-10Ti-Sn alloy for dental implant biomaterials. The addition of titanium as a material has good corrosion resistance and stannum as a material has a low modulus young and can increase hardness of the alloy in accordance with the material criteria as a dental implant, which must have good corrosion resistance and good mechanical properties. Zr -10Ti-xSn alloy (x = 0, 2, and 4% wt) were subjected to solution treatment with temperature variations of 900oC, 1000oC and 1100oC with water quenching. The results  is increase in stannum content can also increase the hardness because stannum can inhibit the enlargement of grain boundaries and the microstructure is more homogeneous and tends to be smaller with an uniaxial shape. Stannum as alpha stabilizer will form a hard alpha phase. Micro Vickers hardness test with the highest hardness value of 601,438 HV alloy Zr-10Ti-2Sn with 900oC solution treatment, phases formed were α-Zr and β-Zr and intermetallic Zr4Sn and SnTi3 Zr-10Ti-4Sn alloys which were identified using X-Ray Diffraction (XRD).
Effect of Biodiesel B100 and Ethanol Blends on the Performance of Small Diesel Engine
Authors: Firdiansyah Alfian , Ilminnafik Nasrul , Triono Agus , Kustanto Muh Nurkoyim
Published: July 2021

A small diesel engine is a machine that has high efficiency but causes a high level of pollution. The most widely used fuel so far is fossil energy which is unrenewable energy. The fruit of the Calophyllum inophyllum plant has great potential to be developed as alternative energy for small diesel engines. In this study, the test fuel used was D100, B100, E5, E10, and E15. The small engine diesel used TG-R180 Diesel with a compression ratio of 20:1 at engine turns 1500, 1800, 2100, and 2400 rpm, and the braking load at a constant prony disc brake is 1,5 kg/cm2. The result of the study using E10 fuel can improve engine performance and can reduce the opacity of the exhaust gas. The highest power in the D100 fuel at 2100 rpm is 8,06 PS. The highest thermal efficiency of E10 fuel is 50,29%. The use of Calophyllum inophyllum biodiesel (B100) can reduce exhaust gas opacity in small diesel engines when compared to the use of D100. E10 fuel has the lowest exhaust gas opacity rate of 4,1%.
Experimental Study of Updraft Gasification of Rice Husk and Coal to Produce Syngas
Authors: Nugroho Fiqrei Akbar , Syarief Akhmad , Mikhael Allexyus , Supit Geovani Glen
Published: July 2021

Limited resource of fossil fuel inspires many research activities to search for alternative energy. This work offers alternative solution to address this problem through charcoal gasification. The goal of this research is to find the amount of syngas produced in the gasification is process. The alternative fuel was produced from the mixing rice husk and low quality coal due to their abundant resource in South Kalimantan. The mixture was then gasified at 500 °C. The highest syngas volume at 29.56 L was in the sample of SP 200 gr and BB 0 then followed at 25.7 L for ratio SP 180 gr : BB 20 gr. The lowest produced syngas 19.45 was produced from the sample with ratio SP 100 gr : BB 100 gr. This gasification process also resulted in side product, i.e. tar component which varies from 22.5 mL to 58.75 mL.
Key Performance Indicators Analysis for Quay Container Crane Performance Assessment (Case Study at Jakarta International Container Terminal)
Authors: Pekih Mufti Imam , Sembiring Adelina , Santoso Sugeng
Published: July 2021

PT Jakarta International Container Terminal (JICT) is the largest container port in Indonesia. Currently, JICT capacity is 2.5 million TEUs (Twenty-foot Equivalent Units) per year, it continues to strive to improve international services and is supported by adequate container loading and unloading equipment. The requirement to establish common standards in different types of container port equipment and identify performance indicators to assess the performance of container handling equipment has increased. Although the Quay Container Crane (QCC) operating system may be different at each container terminal, there are similarities in its main movements, namely: Main Hoist, Trolley, Gantry, and Boom. By knowing the clock metric for each movement, it is possible to determine the Key Performance Indicator (KPI) that has been adopted and assess the performance of the Quay Container Crane (QCC). The results of the study identified that the value of MMBF (Mean Move Between Failures) decreased due to the accumulation of long-lasting heavy load operations, while the number of maintenance activities for machine parts and working hours continued to increase. Key Performance Indicator (KPI) as a management tool can guide QCC inspections and the results can provide useful insights for improving the performance of equipment and container loading and unloading operations in the future.
Influence of Mixture Composition and Compaction Pressure of Briquette Made from Ironwood (Eusideroxylon Zwageri) Charcoal and Gelam (Melaleuca Cajuputi ) on Combustion Characteristic
Authors: Syarief Akhmad , Awaly Nuryasin Qadimil , Yusuf Muhammad , Iberahim Jerry
Published: July 2021

In recent few years, many works have been dedicated to search for new source of renewable energy. In this study, new source of renewable energy is based in the briquette made from mixture of ironwood (Eusideroxylon zwageri) powder and gelam (Melaleuca leucadendron) wood powder. The mixture was carbonized at temperature of 500 oC ± 10 oC for 120 minutes. The size of the particles used was 50 mesh while the ratio between wood powder adhesives, i.e. starch powder, used in the study was 1:1. The composition variations between ironwood charcoal and gelam were 100% ironwood charcoal powder and 0% gelam, 70%: 30%, 50%: 50%, 30%: 70%, 0% ironwood: 100% gelam. The compaction pressure during briquette production was varied at 100 kg/cm2, 125 kg/cm2 and 150 kg/cm2.  The highest combustion temperature at 205 oC occurred in the specimen with composition of 30% ironwood powder and 70% gelam wood powder with compaction pressure of 100 kg/cm2. The longest burning duration 140 minutes (2 hours 20 minutes) occurred at composition of 50% ironwood powder and 50% gelam wood powder at compaction pressure of 150 kg/cm2. The fastest initial ignition time was 7 minutes and occurred for mixture with composition of 70% ironwood powder and 30% gelam wood powder at compaction pressure of 125 kg/cm2.
The Influence of Leachate Water on Corrosion Rate of Mild Steel Plate
Authors: Ghofur Abdul , Rachman Dhonie Adetya , Lutfi Muhammad Mochtar , Rahman Fathur
Published: July 2021

Leachate water from final waste landfill (Tempat Pembuangan Akhir, TPA) contains harmful substances for the environment and living organisms. Furthermore, the leachate water can deteriorate equipment buried near TPA, e.g. buried water pipe. This work investigated the corrosion rate of mild steel SPCC SD after immersion in leachate water of TPA Gunung Kupang and Cahaya Kencana located in South Kalimantan. The steel plate immersion into leachate water was worked out in 3 different cases. The first case was 2 weeks immersion in leachate water followed by 1 week contact with ambient air. In the second case, steel plate was immersed in leachate water for 1 week and then 2 weeks in direct contact with ambient air. The last one was steel plate immersion in leachate water for 3 weeks without any direct contact with ambient air. The investigation shows that longer contact duration between wet steel surface, after immersion in leachate water, with ambient air increases the corrosion rate. The investigation shows also that the corrosion rate due to leachate water from Gunung Kupang landfill is higher than that of Cahaya Kencana landfill. Corrosion rate for TPA Gunung Kupang case varies from 0.441 to 0.718 mmpy. Meanwhile, corrosion rate for TPA Cahaya Kencana varies from 0.131 to 0.495 mmpy. This is due to lower pH of leachate water from TPA Mount Kupang.
Application of Fiber Made from Bark of Salak (Salacca Zalacca) Tree as Reinforcement in Polymer Matrix Composites
Authors: Laksono Andromeda Dwi , Tajalla Gusti Umindya , Parusha Oliever Andrea
Published: July 2021

Although Indonesia is abundant supply of salak (Salacca zalacca) fruit, bark of salak is not yet advanced utilized. This work therefore chracterized its fiber and process it into polymer matrix composites. The study was conducted using varied chemical treatments. Delignification using NaOH solution with concentration of 1%, 5%, 10% with 3 hours immersion time. Bleaching treatment was using H2O2 media with varied immersion time at 30, 60 and 90 minutes. Tensile tests, impact tests, microscopic image test using scanning electron microscopy (SEM) and chemical composition test using fourier-transform infra-red (FTIR) spectroscopy were carried out in this work. This work showed that optimal delignification treatment can be found when 5% NaOH concentration was used. The corresponding ultimate tensile strength and impact strength were 25.47 MPa and 11.95 kJ/m2, respectively. The optimal bleaching treatment was 90 minutes immersion. The results of SEM image analysis showed that the salak midrib fiber composite without treatment has a lousy interface. Meanwhile, fiber with delignification treatment only has reasonable good interface and fiber with delignation treatment followed by bleaching treatment has excellent interface. FTIR test results showed that the salak midrib fiber composite without treatment had a cellulose component although hemicellulose and lignin levels still dominated. The delignification treatment had succesfully broken the lignin-specific C = O bond but still could not eliminated hemicellulose and lignin bond. In comparison, bleaching treatment reduced intensity of OH intensity, CH and CO which are typical hemicellulose and lignin functional groups. Based on the results of the study, salak midrib fiber with delignification chemical treatment using 5% NaOH for 3 hours followed by bleaching treatment using 2% H2O2 for 90 minutes was the best treatment.
The implication of organizational culture for building organizational identity strategy (Case study of PPID Ministry of Finance)
Authors: Ferdiansyah Reinaldy , Rahmanto Andre Noevi , Slamet Yulius
Published: July 2021

This article was made based on the changing needs of the community for information in the era of information and communication technology. To be able to communicate policies in the field of public information disclosure, the government must be able to realize transparently, effectively, efficiently and accountably. The communication process must be supported by a good and reliable organizational identity. This research was conducted to see the implications of how organizational culture changes in the digital era in the Ministry of Finance's public information service process since 2018. The organizational communication process is used as a liaison for the creation of good relations between organizations and the public. This study uses descriptive analytic research methods with results that explain that organizational culture is important in supporting changes in PPID Ministry of Finance's (PPID MoF) public information service activities in the digital age. The implication can be seen that changes in the PPID MoF organizational identity through the use of social media will depend on the organization's strategy and organizational cultural activities. Furthermore, it is expected that the use of social media can be used as a way to educate and increase public participation in the field of public information services
Jajasan “Pembaruan”: Propaganda discourse through its printed products
Authors: Yuliantri Rhoma Dwi Aria
Published: July 2021

The purpose of this paper is to describe Jajasan “Pembaruan” as a publisher that produced printed materials in the form of magazines and books in Indonesia (1950-1966). This study might be categorized in the history of communication as a political frame. This article examines particularly on how Jajasan “Pembaruan” as a political agent carried out propaganda with printed material productions in the form of book and magazine publications. As an agent of trans-nationalism, through the content in the publication, Jajasan “Pembaruan” as well as being a medium in shaping the concept of identity politically and culturally through discourse politics. This research shows that the publications by Jajasan “Pembaruan” were agents of political propaganda pioneered by several young people (political activists and leftist thinkers), the Indonesian Communist Party. Thus, the productions by Jajasan “Pembaruan” were at the same time a strong foundation in providing theory, politics, and practices regarding the idea of a “new way”, especially among the cadres of the Indonesian Communist Party about Indonesian political identity. Propaganda spread through books or magazines published by Jajasan “Pembaruan” was one of the discourse efforts of “decolonialization” in spreading various communist political views. Production or printed materials by Jajasan “Pembaruan” received support in a fluid communication network between countries in the context of the cold war.
Directorate General of Taxes working from home: A phenomenology of Singkawang Tax Office employees during Covid-19 pandemic
Authors: Risdiana Nita , Utari Prahastiwi , Satyawan Ignatius Agung
Published: July 2021

Working from home (WFH) is a new thing for Directorate General of Taxes (DGT) which has the most extensive office distribution among vertical agencies of Indonesian government, surely has its own challenges in implementing WFH during Covid-19 pandemic. Such as the Singkawang Tax Office which has 86% non-homebase employees that appear to have different meaning about WFH which can affect their public service. This phenomenology study wants to examine the meaning of WFH based on the experience of DGT non- homebase employees along with their various conditions and backgrounds. Six employees were deeply interviewed by purposive sampling technique. The research findings showed that WFH was defined as new step in carrying out the government bureaucracy and public service. The different meanings of WFH were not only influenced by the location of office but also by the differences of cultural background, age, educational background, and position; that affected their performance in carrying out government bureaucracy and undergoing tasks related to public service. The reward and punishment rules for employees discipline during WFH was defined as organization’s response to maintain all organization performances. These findings raise implications for public service organizations running WFH during covid-19.
Islamic vigilantism and women in social media
Authors: Zaman Md. Sayeed Al
Published: July 2021

In Bangladesh, the number of cyber-citizens has been skyrocketing since the 2010s. Violence against women is also proliferating along with the presence of Islam in public spheres and discourses. Using thematic analysis, this study analyzes the discourse data collected from Facebook, the dominant social media of Bangladesh. The key aim of the research is to find out the bedrock of Islamic vigilantism and verbal aggressiveness against women in social media. Subsequently, three interlinked themes have been explored: women’s religiosity, women’s attire, and women’s virtue. The findings have shown that men mainly capitalize on these three conventional and stereotyped ideas of popular Islam to conduct vigilantism against women in social media, which is most often accompanied by different types of verbal aggressiveness. Further, this study considering deep-rooted misogyny and patriarchy in Bangladesh society argues that these factors might have contributed to directing online vigilantism against women. As little research has been done in this area, this research study would lead to further researches in this area.
The commodification of economic perspectives in Islamic Religious Education Studies on social media
Authors: Fathurahman Heri , Umasih Umasih , Gumelar Gumgum , Hadiyanto Andy , Azzahra Assyifa Amelia
Published: July 2021

Economic empowerment in Indonesia is quite dynamically developing, this is also not free from the study of Islamic religious education on Islamic economics. Apart from this, researchers also used YouTube social media for review in this study. The formulation of the research problem is how to commodify an economic perspective in the study of Islamic religious education on social media. This study aims to analyze the commodification of economic perspectives in the study of Islamic religious education on social media. Researchers use a quantitative approach with a survey method where data will be taken from a predetermined population and sample and then a questionnaire to the respondent. The results of this study indicate that the commodification of YouTube content about the economy packaged in Islamic Religious Education affects the attitudes of YouTube users who watch the content. This is evidenced by conducting a regression test with the results that all ha received and accepted are declared good. In addition, economic empowerment in the perspective of Islamic religious education can also increase community economic empowerment and support the economic activities of the Indonesian people.
Online da’wah as hijra commodification practice in media by @Indonesiatanpapacaran movement
Authors: Aini Syarifah Nur , Akalili Awanis
Published: July 2021

Dakwah discussing Islamic values are not only obtainable through religious lectures, television broadcasts, or certain book category. Dakwah could also be performed by using social media; a medium that is dominated by milennials. Dakwah performed by @indonesiatanpapacaran, is an example for dakwah movement in social media. This account is favored by individuals who pursue “hijrah” (hegira/hijra). Not only introducing the nurture of Islamic values, this account also has its profitable business going. Some religious narrations could function as commodity materials, both online and offline. In the end of the day, the capitalist could gain great benefit by this account’s movement. The objective of this study is to obtain an overview of commodification process performed by @indonesiatanpapacaran. Research method used is content analysis. Data collection was conducted by analyzing all contents posted in @indonesiatanpapacaran Instagram account. Some data including contents, values, and even narrations, are the highlight of the analysis. All contents in marriage principals could be seen as potential contents made use by Indonesia Tanpa Pacaran movement.
Structural equation modeling of internet of things (IoT) adoption for Indonesian Village-Owned Enterprises (BUMDes)
Authors: Usman Bustami , Sentosa Ilham , Nurrahmi Febri
Published: July 2021

This study seeks to examine the antecedents of Internet of Things (IoT) intention and adoption of Indonesian village-owned enterprises (Badan Usaha Milik Desa, BUMDes) by applying the Technology Acceptance Model (TAM). The respondents comprised 237 managers and staff of BUMDes in Aceh, Indonesia. A questionnaire was designed to examine perceived usefulness of IoT on the product and service empowerment, perceived ease of use of IoT, and perceived credibility on IoT, intention to use the technology, and adoption of IoT to the community empowerment in the village setting. The data were analyzed using partial least squares structural equation modeling (PLS-SEM). The generated model of IoT showed three significant direct paths between perceived usefulness, perceived credibility on the IoT, and intention as well as between intention and adoption. The re-specified model of IoT adoption indicated two significant direct paths (perceived usefulness to intention and intention to adoption) and introduced three new paths (direct paths from perceived usefulness, perceived ease of use, and perceived credibility to adoption). The final model also established partial mediating effects of intention between Perceived Usefulness, Perceived Ease of Use, and IoT adoption. This study suggests the relevance of TAM to explain IoT adoption in Indonesian village-owned companies.
Communication in the midst of Covid-19 pandemic
Authors: Setiawan Benni , Pawito Pawito , Hastjarjo Sri
Published: July 2021

Abstract
The Disparity and Dynamics of Social Distancing Behaviors in Japan: Investigation of Mobile Phone Mobility Data (Preprint)
Authors: Lyu Zeyu , Takikawa Hiroki
Published: July 2021

BACKGROUND

The availability of large-scale and fine-grained aggregated mobility data has allowed researchers to observe the dynamics of social distancing behaviors at high spatial and temporal resolutions. Despite the increasing attention paid to this research agenda, limited studies have focused on the demographic factors related to mobility, and the dynamics of social distancing behaviors have not been fully investigated.

OBJECTIVE

This study aims to assist in designing and implementing public health policies by exploring how social distancing behaviors varied among various demographic groups over time.

METHODS

We combined several data sources, including mobile tracking mobility data and geographical statistics, to estimate the visiting population of entertainment venues across demographic groups, which can be considered the proxy of social distancing behaviors. Next, we used time series analysis methods to investigate how voluntary and policy-induced social distancing behaviors shifted over time across demographic groups.

RESULTS

Our findings demonstrate distinct patterns of social distancing behaviors and their dynamics across age groups. On the one hand, although entertainment venues’ population comprises mainly individuals aged 20-40 years, a more significant proportion of the youth has adopted social distancing behaviors and complied with policy implementations compared to older age groups. From this perspective, the increasing contribution to infections by the youth should be more likely to be attributed to their number rather than their violation of social distancing behaviors. On the other hand, although risk perception and self-restriction recommendations can induce social distancing behaviors, their impact and effectiveness appear to be largely weakened during Japan’s second state of emergency.

CONCLUSIONS

This study provides a timely reference for policymakers about the current situation on how different demographic groups adopt social distancing behaviors over time. On the one hand, the age-dependent disparity requires more nuanced and targeted mitigation strategies to increase the intention of elderly individuals to adopt mobility restriction behaviors. On the other hand, considering that the effectiveness of policy implementations requesting social distancing behaviors appears to decline over time, in extreme cases, the government should consider imposing stricter social distancing interventions, as they are necessary to promote social distancing behaviors and mitigate the transmission of COVID-19.
Peter Chew "Logical Science" System For Epidemics (Preprint)
Authors: Chew Peter
Published: July 2021

BACKGROUND

Lessons must be learned from the mistakes of the Covid pandemic. As we have seen, some countries are facing persistently high rates of covid-19 infection, but some countries such as China and South Korea can address the covid-19 problem when their country faces a surge in covid-19. This indicates that some countries facing persistently high infections may have used the wrong strategy, leaving them facing persistently high infections. The study will analyse what have been the main mistake since the Covid pandemic. Then create a system to solve the problem so that it can be used in future pandemic.

METHODS

Peter Chew’s "Logical Science" system focuses on logical review. The main purpose of the logical review part is to determine whether the guidelines are false. For non-medical treatment guidelines, if the logical review part determines that the guidelines are not false, real-world evidence is needed to determine whether the guidelines are correct. Similar to Mathematical Induction, The goal of the base case is to determine whether the statement (rule, formula, etc.) is false. If the sentence is not false, you need to continue to the second case, the inductive step determines whether the sentence (rule, formula, etc.) is true.

RESULTS

Using Peter Chew's "Logical Science" system, we can find wrong guidelines earlier. It can prevent continued practice of wrong guidelines, leading to persistently high infections. As we have seen, Director-general of the Chinese Canter for Disease Control and Prevention (CDC), George Gao said that in his view, a big mistake in the United States and Europe is that people do not wear masks. Therefore, early detection of wrong guidelines is important to reduce high infection rates. In fact, the important lesson we can learn from China’s response to the covid-19 surge is that China will not wait for study evidence to apply non-medical prevention, such as Wuhan compulsory wearing masks on January 22, 2020.

CONCLUSIONS

Prevention is better than cure. Instead of creating new medical treatment or vaccine for viruses or mutant viruses, it is better to create a system to prevent the spread of pandemic viruses.
As we have seen, China and South Korea managed to solve the covid-19 surge in their countries without using vaccines in 2020. Therefore, the epidemic prevention system must be able to detect any wrong guidelines faster to prevent the use of the wrong guidelines from causing widespread spread of the virus. For pandemics, waiting for research evidence to implement non-medical prevention strategies is a big mistake, because the prime time to reduce the spread of the virus has been missed. It takes time to generate research evidence, and follow-up peer review also takes time, so the process of peer review research evidence allows the virus to spread widely, and some mutations may occur, making virus prevention more difficult to deal with.
Road Feature Extraction from LANDSAT-8	and ResourceSat-2 Images
Authors:   Technology and Innovation, MSA, National Remote Sensing Centre (NRSC), 500 037, India, Lenin Kumar Reddy Sama , Rao C. V. ,   Technology and Innovation, MSA, National Remote Sensing Centre (NRSC), 500 037, India, Rajesh Kumar P. ,   Dept. of Electronics and Communication Engg., Andhra University College of Engineering, 530 003, India
Published: July 2021

This paper presents a methodology of road feature extraction from the different resolutions of Remote Sensing images of Landsat-8 Operational Lander Image (OLI) and ResourceSat-2 of Linear Imaging Self Sensor-3 (LISS-3) and LISS-4 sensors with the spatial resolutions of 15 m, 24 m, and 5 m. In the methodology of road extraction, an index is proposed based on the spectral profile of Roads, also involving Morphological transform (Top-Hat or Bot-Hat) and Markov Random Fields (MRF). In the proposed index, Short Wave Infrared (SWIR) band has a significant role in the detection of roads from sensors, and it is named Normalized Difference Road Index (NDRI). To enhancement of features from the index, Bot-Hat transforms used. To segment the road features from this image, MRF used. The methodology is performed on the OLI, LISS-3 and LISS-4 images, and presented with results.
Pragmatic Functions of Questions Found in the TV Series The Office
Authors: Baihaqi Tiffani Rizki Putri , Hardjanto Tofan Dwi
Published: July 2021

Questions are always present in people’s lives as they are used in daily conversation, not only as a tool to initiate a conversation but also to keep that conversation alive and at the same time to gain information from the interlocutor. This research aims to investigate the syntactic forms of questions and their pragmatic functions found in a TV series entitled The Office Season 1 as the data source. The data used in the research were interrogative utterances, their answers, and the context of the conversation. The results show that 409 questions were found, consisting of 214 (52%) yes/no questions and 195 (48%) WH questions. What outnumbers the other question words with a total of 117 (60%) questions. These questions were used to serve 27 pragmatics functions, seeking the most frequent function, amounting to 140 questions or 34% of the whole data. The dominant use of the questions word what and the function seeking information might be due to the setting of the place where the conversation is held, that is, The Office.
Request Strategies as Seen in the Movie Silver Linings Playbook
Authors: Tambulana Falminda Rahmadiyanti , Sutrisno Adi
Published: July 2021

This research aimed to investigate the types of request strategies used by the characters in the movie Silver Linings Playbook (2012). It also identified the types of request goals made by the characters. The data were taken from dialogues in the movie, which contained request utterances. The data were then classified into nine strategy types of request according to Blum-Kulka and Olshtain (1984), followed by the classification of the data into four types of request goals according to the theory proposed by Blum-Kulka et al. (1985, as cited in Forgas, 1985, p. 118). The result showed that 202 request strategies were made by the characters. The most frequently used request strategy found in the movie was a direct request, which was mood derivable with 111 occurrences (54.9%). Meanwhile, for request goals, requests for action was the most frequently implored type by the characters, and it was dominated by mood derivable strategy with 103 occurrences (64.8%).
Rethinking John Boyne’s The Boy in the Striped Pyjamas as Children’s Literature
Authors: Prajaningtyas Nugraheni Bhakti , Adi Ida Rochani
Published: July 2021

This graduating paper aims to examine whether or not John Boyne’s novel entitled The Boy in the Striped Pyjamas should be categorized as children’s literature. The story tells about a nine-year-old German boy named Bruno with his Jewish friend, Shmuel, who lives inside the concentration camp during the Holocaust. This graduating paper applies the genre approach since it is the most suitable approach to analyze the elements of children’s literature genre, which are character and characterization, didactic elements, the happy ending, and element of pictures in children’s literature. In order to support the analysis, library research was conducted alongside the novel itself as well as supporting articles from reliable websites. The result of the analysis shows that John Boyne’s The Boy in the Striped Pyjamas cannot be categorized as children’s literature as the characteristics of children’s literature suggested by Nodelman are not found in the novel. However, The Boy in the Striped Pyjamas can be categorized as high literature since the characteristics of high literature are primarily found in the novel.