Mohammad Bhanu Setyawan
@umpo.ac.id
Teknik Informatika
Universitas Muhammadiyah Ponorogo
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Aang Kisnu Darmawan, Muhsi Muhsi, Mohammad Waail Al Wajieh, Mohammad Bhanu Setyawan, Agus Komarudin, and Fathorrozi Ariyanto
IEEE
Many e-Government studies have devised different ways to measure how ready a smart city is to use ICT. But many research notes show that the conceptual readiness framework is hard for e-Government researchers to understand. These challenges have included a lack of a scientifically valid model framework and readiness models for village and sub-urban areas, which have been common in numerous developing countries like Indonesia. This study aims to use a readiness model from Parasuraman's (2015) Technology Readiness Index 2.0 (TRI 2.0) framework to determine how ready Sub Urban areas in Indonesia are. By looking at how the mobile-based Smart Regency services were used, the TRI 2.0 framework was changed so that it could be used to measure sub-urban areas in Sumenep and Pamekasan Regencies, Madura Island Districts. A random, stratified, and purposeful sampling method was used to get information from 148 service users and smart city stakeholders. Analysis of data using SmartPLS 3.2 software and structural equation modeling indicated that the four TRI 2.0 model aspects, namely Innovativeness (5,669), Optimism (3,813), Discomfort (7,033), and Insecurity(7,096), all of these have significant effects on Smart Regency Readiness. This research provides a scientific contribution by adapting the TRI 2.0 model in Sub Urban in Indonesia, which is still rarely studied. This research makes a practical contribution by recommending that smart regency stakeholders pay close attention to important factors that affect how ready smart regency development is in underdeveloped countries, especially Indonesia.
Aang Kisnu Darmawan, Mohammad Waail Al Wajieh, Agus Komarudin, Mohammad Bhanu Setyawan, Busro Akramul Umam, and Rofiuddin Rofiuddin
IEEE
The high failure rate of e-Government implementation in developing countries was the impetus for researching the factors influencing success. Exploring CSFs is crucial to avoid failures. However, e-Government implementation is not simple. E-Government is more than simply introducing web-based technologies to government, but it is a complex social system that addresses the most pressing social issues. Several researchers have explored Critical Success Factors (CSF) for e-Government implementation successful but have not found satisfactory results. Based on the literature search, there are still very few studies exploring CSF and describing the relationship among critical factors that determine the success of e-Government in developing countries, including Indonesia. This research aims to understand the relationship of inter-sub element linkage from the factors that determine the success of Smart Regency, a concept for implementing e-Government in Sub Urban areas in Indonesia. The method used is the Interpretive Structural Model (ISM) approach, a form of ranking elements introduced by J. Warfield based on the relationship between elements. The research was conducted by expert judgment on the relationship between 11 elements that influence the success of a smart regency. The results show that the top three elements' most significant factor was the Open Government Data element (level 1), followed by the E-Service Adoption, Public-Private Partnership (Level 2) element. This research contributes in two ways. The first is theoretically by providing scientific contributions to the relationship between factors that influence the success of smart districts based on the ISM perspective, and practical contributions by providing recommendations to local governments and stakeholders to pay more attention to the factors that build smart regencies.
Aang Kisnu Darmawan, Busro Akramul Umam, Fathorrozi Ariyanto, Mohammad Bhanu Setyawan, Moh. Aminollah Hamzah, and Ahmad Asir
IEEE
Numerous studies in e-Government have developed numerous models to assess smart cities’ readiness to utilise ICT. However, numerous research notes indicate that e-Government researchers are currently confronted with difficulties developing a reliable scientific model framework and developing readiness models for rural and sub-urban areas, which are highly common in several developing countries, including Indonesia. This study aims to adapt a readiness model based on Chien-(2007) Hsi’ s Technology Preparedness and Acceptance Model framework to assess the readiness of Indonesia’ s Suburban Areas, that’ s called Technology Readiness and Acceptance Model(TRAM). The TRAM framework was developed to evaluate the mobile-based Smart Regency services utilised in Pamekasan and Sumenep Regencies, Madura Island Districts. Data were collected by executing a random purposive and stratified random sampling sample of 186 service users and smart regency stakeholders. AMOS software was used to analyse the data and use structural equation modelling. The findings suggested that the three TRAM model constructs, namely with a critical ratio of 8.038 for Perceived Ease of Use (PEOU), 5.569 for Perceived Usefulness (PU), and 1.785 for Use Intention (UI), all have a significant effect on Smart Regency Readiness. This research contributes to science by adapting the TRAM model for use in Sub Urban Indonesia, an area that is still mostly unstudied. And help effectively by advising that stakeholders in smart regencies pay special attention to important factors affecting the readiness of developing countries, notably Indonesia, to build smart regencies.
Aang Kisnu Darmawan, Mohammad Bhanu Setyawan, Adi Fajaryanto Cobantoro, Fauzan Masykur, Anwari Anwari, and Tony Yulianto
IEEE
In the Indonesian context, the number of districts is four times the number of cities, so regency development needs serious attention. However, there are still very few studies that explore districts' existence from the perspective of ICT utility governance. This study aims to measure the mobile-based smart regency information system through usability evaluation. The method applies the adoption of the life cycle of the Knowledge Management System (KMSLC). Evaluation of Existing Infrastructure Analysis, Capture Knowledge, Implementing the Knowledge Management (KM) Model, and Evaluation are the stages used. The measures taken include system analysis, application mapping knowledge, implementation results, and usability assessment. The questionnaire was conducted on ten respondents using the mobile-based smart regency application. The questionnaire was conducted in 5 categories: Effectiveness, Efficiency, Control, Support, and Simplicity. Each of 10 questions, so there are 60 questions and three linkers, namely 4 if all agree, 2 if they don't know, and 0 don't agree. The Median SUMI Scale results for the mobile-based Smart Regency application are 60, 62.5, 60, 60, and 57.5. The usability evaluation results above the average mean that the mobile-based smart regency information system's usability is in a good category. This research helps in determining knowledge management in mobile smart regency services. The study also provides insight into the factors affecting the success of knowledge management of smart regency services for application developers and policymakers.
Aang Kisnu Darmawan, Mohammad Bhanu Setyawan, Adi Fajaryanto Cobantoro, Fauzan Masykur, Agus Komarudin, and Mohammad Waail al Wajieh
IEEE
The user experience (UX) of an item must be evaluated by assessing its user experience as a key feature of product growth. There are several frameworks for user experience assessment questionnaires, one of which is very popular: meCUE. However, the meCUE framework was originally developed in German, then in English, and no research has yet been conducted to develop the Indonesian version of the meCUE framework. This study aims to adapt the meCUE 2.0 framework into the Indonesian version using cross-cultural adaptation and reliability testing. The meCUE 2.0 framework is a user experience questionnaire consisting of 33 questions detailed in Modules I and II, on Perception of instrumental and non-instrumental product qualities, Module III on Emotions, and Module IV on Consequences. This adaptation version is then tested against the Smart Regency Service Application, namely Pamekasan Smart Mobile Application (PSMA), involving 15 respondents from technical and non-technical backgrounds who will be given facial validity and 60 respondents to verify the validity of the Indonesian version of meCUE 2.0 for the various populations. The test results of Cronbach's Alpha from the adaptation version in Indonesian for the meCUE 2.0 framework are 0.868 for module I, 0.870 for module II, 0.894 for module III, and 0.841 for module IV, which concludes that this version can be relied on for use by user experience practitioners. This adaptation version is expected to help researchers and user experience practitioners in Indonesia evaluate product user experiences.
Aang Kisnu Darmawan, Mohammad Bhanu Setyawan, Bakir Bakir, Miftahul Walid, Moh. Aminollah Hamzah, and Ahmad Asir
IEEE
In the context of Indonesia, the number of regencies is four times the number of cities in the 2020 government administration area data record. This record shows that the development of ICT in regency's areas must be a serious concern. However, the survey shows that very few studies are still exploring and examining the various dimensions of Smart Regencies. This study aimed to evaluate the user experience of two Smart Regency applications, namely Pamekasan Smart Mobile Apps (PSMA) and Sumekar Online Mobile Apps (SOMA). The method used is the meCUE 2.0 framework, a relatively new and comprehensive framework for assessing a user experience application service. The MeCUE 2.0 framework contains a questionnaire consisting of 4 modules, namely Modul I & II (Perception of instrumental and non-instrumental product qualities), Modul III (Emotions), Modul IV (Consequences), and Modul V (Overall evaluation), with a total of 34 statements items. The first stage in this research, namely translating the meCUE 2.0 questionnaire and then distributing it to 60 respondents. So, the results measured using the meCUE 2.0 assessment can be given. The results of the calculation of the highest average value for PSMA are usability indicators (3.81), commitment (3.81), and product loyalty (3.83), and the lowest average value is on the status indicator (3.21), at SOMA the highest average value is the indicator commitment (3.21), positive emoticon (3.21) and product loyalty (3.4), and the average value on the negative emoticon indicator (1.86). The mean scores for the overall UX performance were 3.44 for PSMA and 3.07 for SOMA. This research contributes conceptually and practically by providing UX designers and policymakers recommendations to pay attention to important factors in the development of smart regency applications.
Fauzan Masykur, Angga Prasetyo, Ida Widaningrum, Adi Fajaryanto Cobantoro, and Mohammad Bhanu Setyawan
IEEE
Temperature and humidity control are required at the room of mushroom farming to get maximum results. The process of controlling temperature and humidity is currently and highly dependent on human labor. Therefore, human intervention is greatly affected. This paper discusses the existence of internet of things (IoT, hereafter) technology as a temperature and humidity controller by using the Message Queuing Telemetry Transport (MQTT, hereafter) protocol based on the publisher and supplier paradigm. The MQTT protocol was chosen because it has a faster data transmission rate than using The Hypertext Transfer (HTTP, hereafter) Protocol. Data transmission speed makes accuracy in controlling temperature and humidity more accurate. Therefore, it boosts the speed to ideal temperature and humidity. The tests in this study are conducted to analyze the rate of data transfer speed from the sensor to the ideal temperature conditions. It takes an average of 7 minutes in these conditions. Meanwhile, the ideal humidity condition requires an average of 6 minutes. The average time is the time required when the room temperature is at 34°C and the humidity at the room is above 90%. Thus, the MQTT protocol is able to control room temperature and humidity in process of mushroom cultivation. It can be concluded that dependence on human labor is able to reduce.
Rofikoh Rokhim, George Adam Sukoco Sikatan, Arief Wibisono Lubis, and Mohammad Irwan Setyawan
Emerald
Purpose This study aims to investigate whether microcredit programme has a positive impact on productive poors. Several areas of investigation include clients’ borrowing behaviour, level of savings and before-and-after psychological well-being comparison. Design/methodology/approach A case-study survey of 398 clients of a microcredit programme run by a charity organisation in Jakarta, Indonesia, was conducted in 2012. Descriptive statistics and cross-tabulation analyses were then performed to show the variation of different variables among the respondents and how they correlate with socio-demographic indicators. Findings The result shows an indication that microcredit brings positive impact on the clients’ welfare; however, the effect is not linear and there might be an optimum borrowing frequency. Moreover, the output also suggests that age, level of income and level of savings are three important determinant of borrowing behaviour. Research limitations/implications Although the result can be justified, it is necessary to be cautious about its generalisability because of limited number of sample and non-randomised sample selection. Originality/value Although the microcredit programme examined in this study has been operating since 2010, there is by far no comprehensive study to assess its impact on the welfare of the clients. This study attempts to fill in the gap by providing an analysis on how microcredit programme increases the welfare of the clients. In addition, as part of the continuous improvement programme, the study also identifies a number of factors that might indicate the clients’ borrowing behaviour.