Garuda - Garba Rujukan Digital

EVALUASI KEPUASAN PENGGUNA APLIKASI M-HEALTH COVID19 SATUSEHAT DENGAN END USER COMPUTING SATISFACTION (EUCS) DAN MOBILE SERVICE QUALITY(M-S-QUAL) Usman Abrori; Aang Kisnu Darmawan; Muhsi
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 4 (2023): EDISI 18
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i4.2779

The SatuSehat application is still new and encounters problems in use. Complaints reported by the public include frequent application errors, failures at check-in, and the length of time it takes to issue vaccine certificates. Users must enter personal data to enter the application. The SERVQUAL method is used to compare service expectations and reality, while the EUCS method is used to measure user satisfaction.

STRENGTHENING DIGITAL VILLAGE TRANSFORMATION THROUGH ASSISTANCE WITH SMART VILLAGE INFORMATION SYSTEMS (SIDESA) AND SALT POTENTIAL MAPPING IN LEMBUNG VILLAGE, PAMEKASAN REGENCY Umam, Busro Akramul; Darmawan, Aang Kisnu; Muqaddas, Zaiful; Kartini, Kartini; Daryanto, Eko; Anekawati, Anik; Makruf, Masdukil
International Journal of Engagement and Empowerment (IJE2) Vol. 4 No. 1 (2024): International Journal of Engagement and Empowerment
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ije2.v4i1.149

Digital village transformation in Indonesia is crucial for improving government services, regional economies, and quality of life. The Indonesian government promotes this through policies like Village Regulation No. 8 on the Village Information System (SID). Mapping salt potential is also essential for effective resource management, environmental conservation, and reducing poverty. These initiatives aim to empower communities, enhance services, and foster economic growth. However, The implementation of Village Information Systems (SID) faces challenges due to lack of ICT infrastructure, low digital literacy among village officials, limited network connectivity, absence of electricity, and heavy workloads. Addressing these issues, enhancing digital literacy, and ensuring consistent network availability are crucial for efficient rural service delivery. This community service activity aims to (1)create a web-based Smart Village information system, (2)create a digital map of salt potential, (3)improve the skills of village officials in digital-based archive management and administration, (4)improve management and development of village potential by building an intelligent village information system (SIDESA) and a salt potential map. The output of this activity produces (1) a web-based intelligent village information system (SIDESA), (2) the official Lembung Village website, (3) a digital map of salt potential, and (4) a monograph book: GIS-based intelligent village information system. The Lembung Village, digital village transformation, has been successful, with the Smart Village Information System (SIDESA) and digital maps of salt potential being developed and used by village officials and the community. The average knowledge of SIDESA increased from 30% to 85% after training, and satisfaction with the system reached 90%. The digital map had a 95% accuracy rate, and the training and mentoring increased understanding to 82%. A monograph book was published, achieving 80% reader satisfaction

Exploring User Experience and User Interface of Indonesian e-Health PeduliLindungi Mobile-Apps with MeCUE 2.0 Framework Darmawan, Aang Kisnu; Arifin, Imam; Anwari, Anwari
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 2 (2023): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i2.1657

PeduliLindungi Mobile-Apps (PLMA) is a mobile-based e-Health application that was released by the Ministry of Communication and Information (KOMINFO) of the Republic of Indonesia in April 2020. Its goal is to help the government keep track of the Covid-19 Pandemic in Indonesia and stop it from spreading. PLMA is used to find Covid-19, keep track of it, warn people about it, and stop it from spreading. Reports say that more than 10,000,000 people have downloaded PLMA, and KOMINFO has told all citizens that they must use this app. But PLMA was criticized by people who used its apps because of problems like application errors, data leaks, and mistakes in user data. Also, as of September 29, 2021, 470,521 people had reviewed it on the Google Play Store, giving it an average score of 3.8. The score from the PLMA review shows that the application needs to be improved. PLMA also gets complaints about how hard it is to navigate, how features aren't clear, how there are problems with connection and performance, how personal data isn't safe, and how hard it is to get to. The purpose of the research is to investigate and evaluate PLMA which focuses on the user experience (UX) or user interface (UI) of application users. UI/UX in PLMA has been measured or evaluated in a few studies, but the numbers are still very small and limited. Minge (2020) came up with the meCUE 2.0 framework as a way to evaluate an application user experience service. It is a fairly new and comprehensive framework. The MeCUE 2.0 Framework has a questionnaire with 34 statement items. It is made up of 4 modules: Modules I and II (Perception of quality of instrumental and non-instrumental products), Module III (Emotions), Module IV (Consequences), and Module V (Overall Evaluation). In the first step of this study, the meCUE 2.0 questionnaire was translated and then given to 50 people. The results showed that the UI/UX ratings for PLMA were 3.17 for usefulness, 4 for usability, 3.33 for visual aesthetics, 3 for status, 3.67 for commitment, 3.67 for positive emotions, 2.67 for negative emotions, 3.67 for intention to use, 2.67 for product loyalty, and 3.67 for overall evaluation.(107.00). This research makes a contribution both in terms of ideas and in terms of how it can be used. For example, it tells UX designers and policymakers that they should pay attention to important factors while developing PLMAs.

Lexicon-Based and Naive Bayes Sentiment Analysis for Recommending the Best Marketplace Selection as a Marketing Strategy for MSMEs Hoiriyah, Hoiriyah; Mardiana, Helva; Walid, Miftahul; Darmawan, Aang Kisnu
Jurnal Pilar Nusa Mandiri Vol 19 No 2 (2023): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i1.4176

MSMEs (micro, small, and medium enterprises) play an essential role in the Indonesian economy, contributing to 60% of the country's GDP (gross domestic product), creating jobs, and increasing non-oil and gas exports. However, MSMEs in Indonesia face various challenges, including access to technology, digital marketing tools, financial resources, limited market distribution, and low technological literacy. Marketplaces provide an essential marketing channel for MSMEs to increase their competitiveness and sales. Sentiment analysis can assist businesses in making informed decisions about which marketplace to use to increase customer satisfaction. Apart from the importance of the marketplace for MSMEs in Indonesia, research on sentiment analysis for marketplace recommendations is still minimal. Therefore, this study aims to analyze six popular marketplaces in Indonesia using Lexicon-based and naïve Bayes research methods to provide the best marketplace recommendations for MSME marketing. The results showed that Blibli.com had the highest accuracy, followed by Tokopedia, Tiktokshop, Lazada, Shopee, and Bukalapak. Blibli.com received positive reviews with 96.33%, followed by Tokopedia with 95.25%, Tiktokshop with 94.61%, and Lazada with the highest accuracy. 94.22%, Shopee 92.18%, and Bukalapak 89.57%. This research has two significant contributions. First, making a scientific contribution by applying a combination model of lexicon-based and naïve Bayes to analyze market sentiment in Indonesia Second, offering a practical contribution by providing recommendations to MSME actors and policymakers in choosing the best marketplace for MSMEs marketing purposes in Indonesia. By utilizing the recommended marketplace, MSMEs can optimize their marketing strategy and increase their competitiveness in the digital marketplace.

SENTIMENT ANALYSIS ON LGBT ISSUES IN INDONESIA WITH LEXICON-BASED AND SUPPORT VECTOR MACHINE ALGORITHMS Hoiriyah, Hoiriyah; Qomariya, Nurul; Darmawan, Aang Kisnu; Walid, Miftahul; Efenie, Yuri
Jurnal Pilar Nusa Mandiri Vol 19 No 1 (2023): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i1.4183

Non-heterosexual sexual orientation (LGBT) behavior today is one of the most pervasive issues in Indonesian culture. Because of its domino effect on social stability and physical and mental health, the phenomenon known as lesbian, gay, bisexual, and transgender (LGBT) has always been under scrutiny. The development of LGBT people in Indonesia reflects cultural changes that concern many people. Freedom of speech for LGBT people on social media has many public implications. Observation of this phenomenon gives rise to views of anomalies and discrepancies that have drawn criticism. Various attempts have been made to prevent the movement of LGBT people. However, until now, many still debate the pros and cons of this LGBT movement. The lexicon-based method uses a support vector machine to classify public opinion in TikTok video comments about LGBT issues. The lexicon-based method is used as a weighting method, and the support vector machine method is used as a classification method. The results show that the highest gain in sentiment is neutral, with percentage values of 61%, 56%, 68%, 69%, and 63%. The second is positive sentiment, with percentage values of 27%, 27%, 20%, 20%, and 29%. The rest have negative sentiments. With a relatively high accuracy of the five data sets sequentially at 93%, 89%, 95%, 97%, and 91%. This shows that the majority of Indonesians prefer to ignore the issue.

PREDICTING GEN-Z PERSONALITY ON TWITTER BASED ON BIG FIVE MODEL WITH KNN AND SVM Darmawan, Aang Kisnu; Alfarisi, Salman; Hozairi, Hozairi
Jurnal Pilar Nusa Mandiri Vol. 20 No. 2 (2024): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v20i2.5580

Generation Z is a group that is very connected to digital technology, especially social media such as Twitter. Their widespread presence on these platforms creates a unique opportunity to understand their behavioural patterns and personalities. However, research on personality prediction on social media is still limited and focused on certain platforms or different age groups. Personality prediction can help to find out someone's personality by just looking at tweets on social media. This research aims at two things: first, to build a Gen-Z personality prediction model on Twitter based on the Big Five Personality Model with the K-Nearest Neighbor (KNN) algorithm and Support Vector Machine (SVM). Second, test and compare the performance of previously generated personality prediction models with various evaluation metrics. The research results show that the KNN algorithm has an accuracy rate of 0.73%, precision of 0.73%, recall of 0.73%, and score of 0.72%. Based on the test results, the SVM algorithm obtained the best accuracy, which received an accuracy of 0.78%, precision of 0.82%, recall of 0.78%, and F1-score of 0.78%. This research contributes in two ways: first, scientifically, by understanding Gen-Z personalities on Twitter, and second, by developing new prediction methods and insights into Gen-Z behaviour. Second, practically, by helping with communication and marketing strategies, product/service development and social interventions for Gen-Z.

PENERAPAN MODEL GREEN SUPPLY CHAIN MANAGEMENT UNTUK PENGEMBANGAN INDUSTRI BATIK TULIS MADURA DENGAN GSCOR DAN ANP Ismiyati; Darmawan, Aang Kisnu; Bakir
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 10 No 2 (2024): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v10i2.2482

Research on the implementation of Green Supply Chain Management (GSCM) in every business unit is very important considering the urgent environmental issues. This research focuses on the assessment of the GSCM process and performance measurement to determine the performance value of GSCM in the Madura Batik Writing Industry. The methods used are the greenSCOR method and the analytical network process (ANP) method. The Green SCOR method is used to identify and measure environmental and sustainability performance in the supply chain including The 5 core processes are planning, procurement, production, delivery and return. Meanwhile, the ANP method is used to determine the weight of importance of each core process. The results of the research on measuring the performance of the supply chain of the written batik industry using the GreenSCOR model showed a value of 65.5225, showing that the written batik industry in Pamekasan Regency is included in the category of "Avarange" related to the measurement of supply chain management performance reflecting the overall performance companies in the batik tulis industry. The weighting results of the Analytic Network Process (ANP) method show that the criteria "Make" (0.34) and "Plan" (0.31) are the most important in performance assessment, followed by "Source" and "Deliver" with weights of 0.16, and 0.10 respectively while "Return" has the lowest weight (0.06). The implication of this research is the importance of strengthening planning and efficiency in the production process. This research can produce valuable publications in academic journals related to supply chain management, sustainability, and creative industries. The results of these studies can serve as a reference for practitioners, researchers, and policymakers in their efforts to implement sustainable practices in the batik writing industry and other industries.

Exploring User Experience and User Interface of Indonesian e-Health PeduliLindungi Mobile-Apps with MeCUE 2.0 Framework Darmawan, Aang Kisnu; Arifin, Imam; Anwari, Anwari
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 12 No. 2 (2023): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i2.1657

PeduliLindungi Mobile-Apps (PLMA) is a mobile-based e-Health application that was released by the Ministry of Communication and Information (KOMINFO) of the Republic of Indonesia in April 2020. Its goal is to help the government keep track of the Covid-19 Pandemic in Indonesia and stop it from spreading. PLMA is used to find Covid-19, keep track of it, warn people about it, and stop it from spreading. Reports say that more than 10,000,000 people have downloaded PLMA, and KOMINFO has told all citizens that they must use this app. But PLMA was criticized by people who used its apps because of problems like application errors, data leaks, and mistakes in user data. Also, as of September 29, 2021, 470,521 people had reviewed it on the Google Play Store, giving it an average score of 3.8. The score from the PLMA review shows that the application needs to be improved. PLMA also gets complaints about how hard it is to navigate, how features aren't clear, how there are problems with connection and performance, how personal data isn't safe, and how hard it is to get to. The purpose of the research is to investigate and evaluate PLMA which focuses on the user experience (UX) or user interface (UI) of application users. UI/UX in PLMA has been measured or evaluated in a few studies, but the numbers are still very small and limited. Minge (2020) came up with the meCUE 2.0 framework as a way to evaluate an application user experience service. It is a fairly new and comprehensive framework. The MeCUE 2.0 Framework has a questionnaire with 34 statement items. It is made up of 4 modules: Modules I and II (Perception of quality of instrumental and non-instrumental products), Module III (Emotions), Module IV (Consequences), and Module V (Overall Evaluation). In the first step of this study, the meCUE 2.0 questionnaire was translated and then given to 50 people. The results showed that the UI/UX ratings for PLMA were 3.17 for usefulness, 4 for usability, 3.33 for visual aesthetics, 3 for status, 3.67 for commitment, 3.67 for positive emotions, 2.67 for negative emotions, 3.67 for intention to use, 2.67 for product loyalty, and 3.67 for overall evaluation.(107.00). This research makes a contribution both in terms of ideas and in terms of how it can be used. For example, it tells UX designers and policymakers that they should pay attention to important factors while developing PLMAs.

Pengukuran Capability Level Kualitas Layanan E-Government Kabupaten Pamekasan Menggunakan Framework COBIT 5.0 Darmawan, Aang Kisnu; Dwiharto, Arisandi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 3 No 2 (2019): Vol. 3 No. 2 Agustus 2019
Publisher : Universitas Nusantara PGRI Kediri

This study aims to conduct an audit and evaluation of the Pamekasan District e-Government Dispute Settlement services on EDM and APO Domains. The method used is the COBIT Framework.5, a framework for measuring information system governance maturity issued by ISACA in 2012. The audit was conducted at the Pamekasan District Dispendukcapil Office and took samples of e-Government Services in 4 Districts and 12 Districts considered quite representative to be audited.The results showed that overall the results of the audit capability level of ICT services at Pamekasan district Dispendukcapil were at level 3 (Establish) with capability level index values in establish and 2.O (established) EDM domains. Field findings show that business processes in ICT management of e-government services at the sub-district, village levels show that they are at level 0 (incomplete), which means that there is almost no process of governance of ICT services at that level. Suggestions and recommendations that can be made are more authority is needed at the sub-district and village level by adding competent human resources in the ICT field to provide better e-Government services.

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