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Di awal tahun 2020 ini, World Health Organization (WHO) menerima laporan dari Cina mengenai kejadian infeksi berat yang belum diketahui penyebabnya. Kemudian WHO memberi nama virus ini sebagai Covid-19 pada 11 februari 2020. Covid-19 berdampak besar pada perekonomian global termasuk pada perekonomian Indonesia. Akibat penyebaran virus covid-19 banyak pelaku usaha mikro kecil (UMK) dan koperasi yang tidak bisa melakukan aktifitas usaha, Pelaku Industri Kecil yang tidak bisa melakukan aktifitas produksi, Jasa transportasi umum konvensional atau online dalam kota ,buruh, pekerja, atau tenaga harian lepas yang tidak memiliki pekerjaan, dan pekerja sektor formal yang dirumahkan atau korban Pemutusan Hubungan Kerja (PHK). Pemerintah daerah memberikan bantuan bagi masyarakat yang terdampak pandemi Covid-19. Dalam menentukan kelayakan penerima bantuan di kelurahan wonorejo masih menggunakan sistem manual, dimana penentuannya berdasarkan kriteria-kriteria dari hasil rekap data .Sehingga dalam jumlah data yang besar membutuhkan waktu yang relatif lama, serta ketelitian yang tinggi dalam menentukan kelayakan penerima bantuan. Untuk mengatasi permasalahan tersebut diperlukan sistem klasifikasi yang diharapkan dapat menentukan penerima bantuan. Metode yang dapat digunakan adalah Weighted KNN. Setelah dilakukan pengujian dengan Confusion Matrix dengan nilai k=5 didapatkan tingkat akurasi sebesar 87.69%.Kata Kunci: Bantuan, Covid-19, Klasifikasi, K-Neearest Neighbor, Weighted KNN. Abstract - In early 2020, the World Health Organization (WHO) received a report from China regarding the incidence of severe infections with unknown causes. Then on February 11, 2020 WHO named it as COVID-19. Covid-19 has had a major impact on the global economy, including the Indonesian economy. Due to the spread of the Covid-19 virus, many micro, small and medium enterprises and cooperatives are unable to carry out business activities, Small industry that unable to carry out production activities,public transportation service workers in the city both, laborer , and freelancer without a job, and laid-off formal sector workers. Local governments provide assistance to communities affected by the Covid-19 pandemic. In determining the class of beneficiaries in Wonorejo District, the manual system is still used, where the determination is based on criteria from the results of the data recap. So that large amounts of data require a relatively long time, and high accuracy in determining the class of beneficiaries. To overcome these problem tersebut require classification system that expected to be able to determine the class of beneficiaries. The method that can be used is Weighted K-NN.The result of the Confusion Matrix method obtained an accuracy rate of 87.69%.Key Word: Assistance, Covid-19, Classification, K-Neearest Neighbor, Weighted KNN

The development of small and medium enterprises (SMEs) becomes the benchmark and leading position for developing countries’ economies. The digital transformation demands strategies, desires, and awareness of Information Technology (IT)-based market players and investments. Despite the transformation of a digital business platform, many SMEs have stumbled in the middle road. Therefore, this study aimed to determine priority indicators in assessing SMEs’ readiness towards digitalization and evolving a readiness model for SMEs based on the Decision Support System (DSS) approach. Multiple stakeholders’ viewpoints, particularly regarding academicians, governments, investors, market places, and SMEs’ business actors as targeted respondents, were scrutinized quantitatively and qualitatively to verify the proposed factors. The priority weights of factors have been examined from economic and IT perspectives and derived through deploying the Fuzzy Analytical Hierarchy Process (F-AHP) method. This study reveals the rank of measures necessary to assess the readiness of the digital revolution of SMEs. Transaction preparedness in SMEs’ cultural, educational, financial, and technological infrastructure views grows into the principal components during this assessment with 0.30 of vector value, accompanied by marketing and micro-environment at 0.24, management at 0.20, macro-environment at 0.03 and business activities at 0.02, respectively. For the recommendation purposes, the rubric segmented SME fitness into three levels, low, middle, and high performance. The prototype system DSS-SMEsReadiness was then evolved in order to simplify the adoption of the DSS method in the SME performance measurement model. The software analysis demonstrates that this application would assist decision-makers to ascertain SMEs’ readiness to digitalize. The future recommendation provides SMEs and stakeholders with knowledge transfers and acclimatization for taking the appropriate option about their business strategy, management resources, skills, and assistance programs for SMEs. This model attempts to reduce SME digitalization disruptions and achieve a digital business’s growth and sustainability in a nutshell.

The usability and usefulness of smartphones have been found to lack optimality. Moreover, the action of the customer appears to behave as a consumptive user instead of buying following the basic needs. In selecting the right smartphone, this study provides an alternative option for buyers. The Fuzzy Analytical Hierarchy Process (F-AHP) approach is applied by distinguishing between two distinct decision-making namely, Profile User as a user recommendation-based, and Smartphone-based selection. The suggested requirements are hobbies, areas of jobs, and the use of social network applications in determining the user profile. The weights of the criteria and alternatives for profile users are acquired through the dissemination of questionnaires to 117 respondents. In the meantime, parameters such as Random-Access Memory (RAM), Read-Only Memory (ROM), camera, processor, screen, and battery are added to the smartphone list of criteria upon on the interviews of 15 experts and practices in smartphone and Information Technology (IT). F-AHP rates each of the Smartphone and User Profiles as a first-round output. A rule-based expert system is employed to intertwine Smartphone and User Profiles decision-making viewpoints. The relationship between the Smartphone and the User Profile is therefore circumscribed as the final decision to applaud the acceptable Smartphone for those users of the profile. A prototype of the MatchSmartPhone application has been developed to computerize the F-AHP calculation. This application can be used to assist users according to the user's profile in delivering the best Smartphone device recommendations. Users would be wiser and smarter when shopping in advance.

Optical sensors have more capabilities than electronic sensors, and therefore provide extraordinary developments, including high sensitivity, non-susceptibility to electromagnetic wave disturbances, small size, and multiplexing. Furthermore, fiber Bragg grating (FBG) is an optical sensor with a periodically changing grating refractive index, susceptible to strain and temperature changes. As a sensor, FBG’s performance required to optimize and improve the numerical apodization function and affect the effective refractive index is considered. The grating fiber’s apodization function can narrow the full width half maximum (FWHM) and reduce the optical signal’s side lobes. In all the apodization functions operated by FBG, Blackman has the highest sensitivity of 15.37143 pm/°C, followed by Hamming and Gaussian, with 13.71429 pm/°C and 13.70857 pm/°C, respectively, and Uniform grating fiber with the lowest sensitivity of 12.40571 pm/°C. Hamming, Uniform, and Blackman discovered the sensitivity for a strain to be 1.17, 1.16, and 1.167 pm/microstrain, respectively. The results obtained indicated that apodization could increase FBG’s sensitivity to temperature and strain sensors. For instance, in terms of other parameters, FWHM width, Hamming had the narrowest value of 0.6 nm, followed by Blackman with 0.612 nm, while Uniform had the widest FWHM of 1.9546 nm.

Optical fiber is increasingly popular and appreciated as a modern sensor technology in various sectors, one of which is for medical functions. This study was conducted to detect human diaphragmatic breathing flow using theoretical and experimental approaches. Initially, the lung model was formed using the finite element method and the Navier-Stokes equation by applying the principles of momentum and continuity. Furthermore, fiber Bragg grating (FBG) and single mode fiber (SMF) were experimentally designed with sinusoidal patterned macro-scale bending as a stretch sensor in a breathing belt applied to the diaphragm. The simulation model shows the airflow velocity increases up to 4 m/s when it flows into smaller branches. While the experimental results show that the largest power loss occurs at a buffer diameter of 0.8 cm. The power loss detected in SMF is a maximum of -0.18 dBm during inhalation and a minimum of -0.28 dBm during expiration. However, FBG bending is superior with high sensitivity.

Digital transformation forces the utilization of e-money during the economic transaction. Behind its advantages, e-money has been influenced by the inflation rate, thus accelerating the country’s money circulation. Moreover, the fragile Covid-19 economy triggers each country’s need to anticipate the circulation of e-money to deter future inflation. Therefore, this paper deployed the Backpropagation approach integrated with the Genetic Algorithm to forecast the dissemination of e-money in Indonesia by exploiting time-series Bank Indonesia (BI) data from January 2009 to December 2019. Here, 120 data with 12 variables are considered to thoroughly predict the Year 2020 circulation focusing on the previous 12 months. This study reveals that e-money circulation in Indonesia is increasing monthly in 2020. The testing result shows that the lowest mean square error (MSE) is found at 0.000035 for data training division at 90%:10%, learning rate parameter at 0.8, the combination of crossover probability and mutation at 0.4:0.6, and the total generation and population at 350 and 200, respectively. In a nutshell, Backpropagation with a Genetic Algorithm has been expected to a successful outcome for e-money circulation and provides large values compared with actual data and original BPNN.

Utilization fiber optics macro-bending will be useful for non-destructive applications, such as a mass measurement device. This research, therefore, analyzes the fiber optic power loss due to macro bending by mass loading and explores its possible application as an instrument of mass scale. A single-mode fiber (SMF) with a core diameter of 8.2μm and laser with a wavelength of 1310 nm and 1550 nm are used in this work. Moreover, an optical power meter with a sensitivity of 0.01dBm is applied as the detector while power loss is determined using nine bending cylinders that can produce eighteen bends with a roundtrip system. It is obtaineda correlation coefficient R 2 of 0.9910 and 0.9959 corresponding to a sigmoid of 4 parameters for two-wavelength sources of 1310nm and 1550nm, respectively. The results showed mass suppression can produce a power loss with a relatively small error of 19.60%, 11.23%, 0.20%, 3.74%, and 9.36% for mass 300g, 600g, 100 g, 1400g, and 1800g, respectively

The lack of optimality in the Field Experience Program (FEP) placement has affected universities’ educational services to the stakeholders. Bringing together the stakeholders’ needs, university capacities, and participants’ willingness to quality and quantity is not easy. This study tries to optimize the placement of FEP by considering the interests of multiple perspectives through the application of Multi-Objective Optimization on the Basic of Ratio Analysis (MOORA) and Rule-Based methods in the form of a decision-making model. MOORA ranked the students based on the FEP committee’s perspective and other criteria, such as micro-teaching grades, final GPAs, study programs, number of credits, and student addresses. Meanwhile, the school perspective was ordered based on its accreditations, levels, types, facilities, and performances. To achieve the optimal recommendation of FEP placement, the integration of MOORA and Rule-based intertwined the requirement of such perspectives. A prototype of the system recommendation is then acquired to simplify the decision-making model. As adjudications, a survey from twenty stakeholders evidenced around 86.92% of system user acceptances. The confusion matrix testing defines the accuracy of this method reaches 78.33%. This paper reveals that the recommendation model has been successfully increasing the effectiveness of decision making in FEP placement under the needs and expectations of the entire stakeholders.

The earthquake damage brings significant effects. The resilience of buildings against the earthquake and the destruction’s location is not an efficient outcome from previous research. This study applied the Modified K-Nearest Neighbor (MK-NN) in predicting the concrete structures’ performance despite the earthquakes. The 2-story building prediction covered earthquake history, time, concrete quality, displacement, velocity, and acceleration. The analysis of MK-NN provided the values of Euclidean, distance calculation, validity, and weight voting towards the classification of damages as “Safe” or “Immediate Occupancy” (IO). The K values exploited were 1, 3, 5, 7, 9, and 11, and simulation data training at 10:90, 20:80, 30:70. This study revealed the highest degree of accuracy at 98.85% with K=1 and a ratio of 30:70. Simultaneously, the lowest error rate was 1.15% at a similar K value and ratio. Herein, MK-NN significantly exceeds the accuracy and error rate of KNN up to 1.02% and 0.69%, respectively. To date, the automatic calculation prototyping software was then successfully developed. Ensuring the application’s accuracy, the Confusion Matrix, the Black box, and User Acceptance Test (UAT) have been performed. In a nutshell, this study provides a significant contribution to planning and information analysis of earthquake-resistant construction.

The addiction of children to gadgets has a massive influence on their social growth. Thus, it is essential to note earlier on the addiction of children to such technologies. This study employed the learning vector quantization series 3 to classify the severity of gadget addiction due to the nature of this algorithm as one of the supervised artificial neural network methods. By analyzing the literature and interviewing child psychologists, this study highlighted 34 signs of schizophrenia with 2 level classifications. In order to obtain a sample of training and test data, 135 questionnaires were administered to parents as the target respondents. The learning rate parameter (α) used for classification is 0.1, 0.2, 0.3 with window (Ɛ) is 0.2, 0.3, 0.4, and the epsilon values (m) are 0.1, 0.2, 0.3. The confusion matrix revealed that the highest performance of this classification was found in the value of 0.2 learning rate, 0.01 learning rate reduction, window 0.3, and 80:20 of ratio data simulation. This outcome demonstrated the beneficial consequences of Learning Vector Quantization (LVQ) series 3 in the detection of children's gadget addiction.

There are still a few educational platforms that apply a Knowledge Management System (KMS) concept in\ud conducting its operational work. In addition, several obstacles associated with e-learning implementation\ud trigger the in-effectiveness of collaborative learning. However, the concept of Knowledge Management (KM)\ud from a Sharia perspective has significant implications for education systems. This research, therefore,\ud explored the relevance of the Learning Management System (LMS), KM theory, and Sharia education\ud perspective on the development of the Integrated Knowledge Management System (IKMS) Framework. The\ud IKMS components and structures are literature reviewed and then qualitatively justified through the focus\ud group discussion which involved some students, lectures, and experts from two Sharia-based Universities in\ud Indonesia. To verify and test the framework, an IKMS-Edu system was developed by focusing on the\ud adoption of a controlling agent system in the online discussion. Herein, filtering and summarization\ud technology was embedded into IKMS-Edu towards a smart controlling agent. This agent adopted the\ud operational work of IKMS-Edu framework leveraging in four constructs activities viz., knowledge creation\ud and knowledge acquisition (construct 1), knowledge organization and knowledge storage (construct 2),\ud knowledge dissemination and knowledge retrieval (construct 3), and knowledge evaluation and feedback\ud (construct 4). To date, the statistical evaluation of the IKMS-Edu system’s acceptance is conducted by\ud disseminating the questionnaires. The mean scores revealed 40.45% of the respondents strongly agreed, and\ud 42.18% agreed on the proposed framework and prototype system thus the framework aided in performing the\ud IKMS during the collaborative learning activities. As such, this evidence provides the strong support that\ud IKMS-Edu significantly enhanced the effectiveness of collaborative learning by considering the Sharia values\ud of trust, knowledge, virtue, psychosocial, and civilization development into knowledge management\ud activities.

Information security has become a significant problem for the use of information technology, especially for universities that have a lot of data. Information security policy is one solution to ensure data security. However, compliance is a classic problem in information security that face by an organization when applied policy. Effect of users who do not comply with information security policies both from internal and external. Research on this subject was surveyed to find out the leadership perspective on compliance with information security policies and to explore the university's need to evaluate user compliance. This research was conducted in a survey using a closed-ended questionnaire given to manager level of the university. The data processed with descriptive statistics. This research founded management realized the importance of compliance with information security policies to reduce information security incidents. Universities need appropriate model to evaluate information security policy compliance. This understanding will help improve predictions of the impact of complying with information security policies.

Fiber optics have become a vital role in telecommunication technologies with many benefits, i.g. high speed transmission, non-electromagnetic interference and low energy consumption. An excellent single mode fiber (SMF) must provide a low attenuation and dispersion which occurs at same wavelength, i.e. 1550 nm. But, in silica based SMF, this property cannot be achieved in a bulk form. Meanwhile, the direct experiment is really not the best choice. Therefore, a simulation fiber design take a crucial role into account for obtaining zero dispersion shift. We design SMF geometry with zero dispersion by resizing the width of core and cladding. This design consists of inner and outer core-clad profile. We also provide several width boundaries for matching the lowest dispersion to the lowest attenuation in silica fiber-based. Moreover, the results shows that dispersion property of the design is suitable for long-haul optical communication systems.

Although the measurement of liquids temperature is commonly used by Fiber Bragg Grating (FBG) sensor but its thermodynamic performance has interesting phenomena. This paper proposes the measurement and simulation of liquids temperature using FBG. Laser diode was launched into human blood, water, and vegetable oil, then transmitted power is measured by optical powermeter to determine its corresponding temperature. The results showed that the increasing temperature changes led to the widening of the wave shift. The largest change of wavelength is water temperature and the smallest One is vegetable oil temperature. Increase in liquid temperature causes the output power is greater. FBG simulation of sine and square function are also designed for temperature range of 30 °C to 41 °C with matrix transfer method based on coupled mode theory. Peak value of transmission spectrum of each function is shown by the change of temperature which indicates the sensor is sensitive to sine and square function variations. The peak at temperature of 30°C for each sine and square are -78.32 dB and -102.66 dB and increased to 41 °C at 46.72 dB and -79.89 dB, respectively.

Instruments used to measure compliance with information security policies have been developed by many researchers before, but only a few have conducted validity tests per item, especially for variables selected based on qualitative research. This study aims to validate the questionnaire will be used to measure user compliance with policies of information security. This study began by designing a questionnaire and conducting content validation using content ratio validation (CVR) and content index validation (CVI). As many as eight experts from the university assessed the items given. The results of 72 items submitted a questionnaire, as many as 22 items eliminated, and only 50 items that have CVR and CVI values above 0.75. Also, Kappa statistical calculations show that items have excellent reliability among assessors at the item level. This study revealed that this instrument had obtained an appropriate level of validity to measure compliance with information security policies.

Development of optical waveguide resonators have greatly expanded and continues to grow since they have kinds potential applications such as wavelength filtering, switching, coupling and multiplexing. One of resonators, coupled waveguides, ring resonators are designed and operated using various coupling configurations. Ring resonators can be particularly used as wavelength filter if the wavelength can fit a whole multiple time in the circumference of the ring. This article proposes to investigate the transmission spectra from the power source and amplify it in linearized ring resonator configurations and varies the input amplitude on five different wavelengths. With finite difference time domain method, the geometry and power source are simulated to obtain the better result and configuration. The results show the intensity phenomena of filtering in optical circuit.

Attending activities organized by the university or institution is one of the important criteria that must be fulfilled by students for multiple purposes. Whether it is by attending classes, or any other activities, the main concern is focused on the process of recording students’ attendance. The use of a paper-based manual system to record students’ attendance is still being widely used due to the lack of an e-management system. These approaches have a lot of disadvantages due to the nature of the paper which is a fragile material - also an expensive cost to procure and produce. This paper, relying on Radio Frequency Identification (RFID), designed and developed an electronic system known as Activity Attendance Monitoring System (AAMS) that utilizes readily available resource – student card, as the student identification when attending an activity. Results from the validation, execution and continuous test suggest that AAMS can be effectively implemented to monitor and record student’s attendance. The main contribution of the study is the design and development model that capable of monitoring students’ activity attendance in university activities context. Developers and researcher in the area can adopt the proposed design and development model in formulating a similar system in managing activity attendance.

This paper describes a numerical experiment of design and operation of a fiber coupler between single mode fiber and fiber Bragg grating (FBG). Both components are coupled depending with optical waveguide and source parameters. A characterization of fiber coupler is simulated by varying long grating of 10 mm to 60 mm using transfer matrix method based on coupled mode equation. The wave peak, transmission, and dispersion parameters are analyzed to determine the performance of the fiber coupler. The transmission spectrum showed the wave peaks rise to any increase in the grating length on channel 1 and channel 2. Transmission on channel 1 and channel 2 decreased from the wavelength range of 1.45µm–1.55µm and rised in the range of 1,55µm–1,65µm for each increment in length of grating. The dispersion showed the zero dispersion at specific wavelength for each increase in length of grating. This component can be applied for controlling information signal in wide range communication.

The development of telecommunications networks is currently dominated by fiber optics. The fiber optic has become a waveguide medium transmitting information with high frequency bands, high capacity and high speed. An optical amplifier is required to maintain electromagnetic signals when they propagate in far distance. One of the amplifiers, Fiber Raman Amplifiers (FRA) which is the light scattering from the light that comes with the phonon in the lattice of amplification medium produces photons that are coherent with the incoming photons. Many amplifiers are commonly used but the problems not only come from the amplifier but also the component circuit and system. By simulation method, FRA circuit is designed and operated in the form of pre-amplifiers to maintain a better signal from material interference and geometry. The simulation results show that the lowest BER value and the highest Q-factor are found at a distance of 10 km depicted by eye diagram.

Measuring organizational performance is pivotal for a comprehensive understanding of strengths, weaknesses and to improve the quality of any organization’s performance. Balanced Scorecard (BSC) is the strategic evolution tool that is widely used to measure the organizational performances, and achievements from various aspects, both financial and non-financial. In this research, BSC was not only a straight jacket concept but also a high potential tool for measuring and managing tangible and accurate data through the application of several methods. This research weighted the variables of BSC based on significance values of Analytical Hierarchy Process (AHP) and Optimization of Measurement with Objective Matrix (OMAX). Moreover, a recommendation analysis was given based on the cause and effect analysis of variables and the achievement of Key Performance Indicators (KPIs). The flow of information, data, and performance measurement processes were designed into Business Intelligence (BI) software development i.e. BI-MonevDash. The framework and software BI-MonevDash proposed can be used as a new chosen tool for measuring and monitoring organizational performance. Recommendations could facilitate the leaders in decision making to improve the organizational performance and reduce risks.