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All Journal Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Ilmiah KOMPUTASI JOIV : International Journal on Informatics Visualization JRSI (Jurnal Rekayasa Sistem dan Industri) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Indonesian Journal of Electrical Engineering and Computer Science Jurnal Informatika Teknologi dan Sains (Jinteks) eProceedings of Engineering Journal of Community Service and Society Empowerment
Deden Witarsyah
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences

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Information Dashboard Untuk Monitoring Kualitas Air Di Sungai Citarum Secara Real-time Dengan Penggunaan Sistem Telemetri Abel Junando; Ahmad Musnansyah; Deden Witarsyah
eProceedings of Engineering Vol 6, No 2 (2019): Agustus 2019
Publisher : eProceedings of Engineering

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Abstract

Abstrak Citarum adalah sungai terpanjang dan terbesar di Provinsi Jawa Barat. Sungai yang hampir membelah Jawa Barat ini bersumber dari mata air Gunung Wayang (sebelah selatan Kota Bandung), mengalir ke Utara melalui Cekungan Bandung dan bermuara di Laut Jawa. Saat ini Sungai Citarum adalah salah satu sungai yang tercemar di dunia. Penelitian ini bertujuan untuk memberikan informasi kadar kualitas air pada Sungai Citarum. Hasil penelitian ini diharapkan dapat memberikan edukasi kepada masyarakat untuk lebih peduli terhadap lingkungan sungai citarum tentang kualitas air sungai, serta dampak ataupun pengolahan air tersebut untuk masyarakat. Penelitian ini merancang suatu pemetaan informasi suatu titik observasi menggunakan aplikasi berbasis Geographic Information System (GIS) yang dapat dijalankan dan diaplikasikan pada suatu Information dashboard yang dapat diakses pada website. GIS dapat memberikan informasi mengenai titik suatu lokasi observasi tentang kualitas air di Sungai Citarum. Diharapkan dengan adanya GIS ini dapat memberikan informasi suatu titik observasi tentang kualitas air di Sungai Citarum pada stakeholder yang sedang mengakses website untuk mengetahui informasi kualitas air. Information dashboard diharapkan dapat memberikan informasi seputar kadar kualitas air kepada masyarakat ataupun kepada stakeholder instansi pemerintah terkait untuk tanggap dan melakukan tindakan serta evaluasi. Information Dashboard diharapkan dapat memudahkan seluruh stakeholder untuk memantau dan melihat kualitas air di Sungai Citarum secara real-time melalui website. Dengan adanya website ini diharapkan dapat dengan mudah diakses secara bebas dengan terhubungnnya melalui jaringan internet. Kata kunci: Sungai Citarum, Information Dashboard, Website, GIS, Kualitas AirKata kunci: Sungai Citarum, Information Dashboard, Website, Kualitas Air. Abstract Citarum is the longest and largest river in West Java Province. The river which most divides West Java is sourced from the springs of Mount Wayang (south of Bandung), flows north through the Bandung Basin and empties into the Java Sea. At present the Citarum River is one of the polluted rivers in the world. This study aims to provide information on the level of water quality in the Citarum River. The results of this study are expected to provide education to the community to be more concerned about the environment of the Citarum river about river water quality, as well as the impact or treatment of the water for the community. This study designed an information mapping of an observation point using an application based on Geographic Information System (GIS) which can be implemented and applied to an Information dashboard that can be accessed on the website. GIS can provide information about the point of observation of the location of water quality in the Citarum River. It is expected that with the existence of this GIS can provide information on an observation point about water quality in the Citarum River to stakeholders who are accessing the website to find out water quality information.Information dashboards are expected to provide information about the level of water quality to the community or to stakeholders of relevant government agencies to respond and take actions and evaluations. The Information Dashboard is expected to facilitate all stakeholders to monitor and see the water quality in the Citarum River in real-time through the website. With this website, it is expected that it can be easily accessed freely by connecting through the internet network. Keywords: Citarum River, Information Dashboard, Website, GIS, Water Quality.
Telemetri Sensor Kualitas Air Menggunakan Protokol Message Queuing Telemetry Transport (mqtt) Fiqih Muhammad Haekal Rosyadi; Ahmad Musnansyah; Deden Witarsyah
eProceedings of Engineering Vol 6, No 2 (2019): Agustus 2019
Publisher : eProceedings of Engineering

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Abstract

Abstrak Air merupakan salah satu sumber daya alam yang memiliki fungsi sangat penting bagi kehidupan makhluk hidup. Sungai Citarum merupakan sumber air bagi makhluk hidup yang tinggal disekitaran daerah aliran sungai Citarum. Namun, dengan pertumbuhan industri di Indonesia yang semakin pesat, membuat sungai Citarum tercemar akan limbah industri yang dibuang sembarangan ke sungai Citarum. Hal ini membuat kebutuhan air bersih bagi manusia menjadi sulit untuk didapatkan. Dalam memantau kualitas air dan pengendalian pencemaran air, pemerintah masih manual yaitu terjun langsung ke lapangan dalam pengambilan data kualitas air sungai Citarum. Berdasarkan permasalahan tersebut, maka pada penelitian ini ini akan membuat telemetri sensor kualitas air dengan menerapkan protokol Message Queuing Telemetry Transport (MQTT). Dengan adanya telemetri ini, pengambilan data kualitas air menjadi lebih efiesien karena dapat dilakukan dari jarak Protokol MQTT digunakan karena mendukung pada kemampuan yang dimiliki IoT, yaitu dapat berjalan di bandwidth yang kecil sehingga lebih handal dalam mengirimkan data dari sensor dan menerima perintah. Kata kunci: Internet of Things, Telemetri, Kualitas Air, Protokol, MQTT Abstract Water is one of the natural resources that has a very important function for the life of a living collection. The Citarum River is an air source for living things that live around the Citarum river flow. However, with the rapid growth of industry in Indonesia, the Citarum River is polluted with industrial waste which is dumped carelessly into the Citarum River. This makes the need for clean water for humans difficult to obtain. In restoring air quality and controlling air pollution, the government is still manual, which is to go directly to the field to collect water quality data from the Citarum river. Based on these problems, this research will make air quality telemetry sensors using the Message Queuing Telemetry Transport (MQTT) protocol. With this telemetry, taking air quality data becomes more efficient because it can be done from a distance. The MQTT protocol is used because it supports the capabilities possessed by IoT, which can be used on smaller bandwidths can be used in sending data from sensors and receiving requests. Keyword: Internet of Things, telemetry, Water Quality, Protocol, MQTT
A Survey on Forms of Visualization and Tools Used in Topic Modelling Ruhaila Maskat; Shazlyn Milleana Shaharudin; Deden Witarsyah; Hairulnizam Mahdin
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1313

Abstract

In this paper, we surveyed recent publications on topic modeling and analyzed the forms of visualizations and tools used. Expectedly, this information will help Natural Language Processing (NLP) researchers to make better decisions about which types of visualization are appropriate for them and which tools can help them. This could also spark further development of existing visualizations or the emergence of new visualizations if a gap is present. Topic modeling is an NLP technique used to identify topics hidden in a collection of documents. Visualizing these topics permits a faster understanding of the underlying subject matter in terms of its domain. This survey covered publications from 2017 to early 2022. The PRISMA methodology was used to review the publications. One hundred articles were collected, and 42 were found eligible for this study after filtration. Two research questions were formulated. The first question asks, "What are the different forms of visualizations used to display the result of topic modeling?" and the second question is "What visualization software or API is used? From our results, we discovered that different forms of visualizations meet different purposes of their display. We categorized them as maps, networks, evolution-based charts, and others. We also discovered that LDAvis is the most frequently used software/API, followed by the R language packages and D3.js. The primary limitation of this survey is it is not exhaustive. Hence, some eligible publications may not be included.
Analisis dan Penerapan Proses Mining untuk Mengidentifikasi Perilaku Belajar Siswa Terhadap Penggunaan E-Learning di Saat Masa Pandemi Covid-19 (Studi Kasus : SMK Telkom Malang) Melinsye Herliani Ahab; Rachmadita Andreswari; Deden Witarsyah
eProceedings of Engineering Vol 10, No 3 (2023): Juni 2023
Publisher : eProceedings of Engineering

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Abstract

Abstrak-SMK Telkom Malang merupakan sekolah kejuruan di bidang Teknologi dan Informatika yang menerapkan perkembangan teknologi dalam sistem pembelajaran jarak jauhnya. E-learning merupakan media pembelajaran yang didukung oleh teknologi komputer dan internet, yang berisi konten pembelajaran. Perilaku belajar siswa pada pembelajaran E-Learning ini memiliki keterkaitan yang kuat dalam penggunaannya. Semakin berkualitas penerapan pembelajaran di E-Learning ini, maka semakin tinggi pula pencapaian dalam mendapatkan data perilaku belajar siswa dalam penggunaan e-learning yang tercatat dalam event log. Penelitian ini menggunakan menggunakan tools Disco dan ProM dengan menggunakan algoritma Heuristic Miner. Heuristic Miner digunakan karena paling cocok untuk menangani process mining pada event log dikarenakan heuristic miner dapat mengekspresikan event log dengan baik dan mengungkapkan kejadian utama yang terekam serta mampu menangani data yang memiliki noise. Penggunaan Petri Net pada ProM tools membantu dalam menganalisis model proses untuk memberikan gambaran perilaku belajar siswa yang aktual. Hasil dari heuristic miner dapat memodelkan event log ke dalam model proses dengan baik, dilihat dari nilai rerata fitness dari jurusan RPL menunjukkan nilai 0.970. Sedangkan, nilai rerata fitness jurusan TKJ menunjukkan nilai 0.901. Penelitian ini diharapkan dapat dijadikan sebagai tolak ukur untuk mengidentifikasi perilaku belajar siswa terhadap pembelajaran E-Learning pada masa pandemi yang berdampak signifikan terhadap sistem pembelajaran.Kata Kunci-process mining, disco tools, ProM tools, E-Learning, event log
Sentiment Analysis of Maxim Online Transportation App Reviews using Support Vector Machine (SVM) Algorithm Putri Kurniawati; Riska Yanu Fa'rifah; Deden Witarsyah
Building of Informatics, Technology and Science (BITS) Vol 5 No 2 (2023): September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i2.4265

Abstract

The continuous emergence of online transportation service platforms is one of the effects of the ever-increasing technological advancements. One such online transportation service application, Maxim, has recently been slowly gaining ground in the ride-hailing market in Indonesia. According to data collected by one media outlet in 2022, Maxim ranks third as the most preferred online transportation platform by the public, following Gojek and Grab. This suggests that there are factors causing users to lack interest in or hesitate to use the Maxim application. On the Google Play Store, user ratings (in numerical values) and written reviews serve as reasons for the potential users lack of interest. Analyzing ratings alone is less accurate and does not provide in-depth information and meaning regarding users experiences. To understand user opinions about Maxim's service and functionality, an analysis of user reviews is crucial. Therefore, this research conducts sentiment analysis on Maxim user reviews using the Support Vector Machine (SVM) algorithm to classify reviews quickly. The reviews are categorized into two classes: positive and negative sentiment. The classification process is carried out in three scenarios with different data training and testing ratios: 60:40, 70:30, and 80:20, using a Linear kernel and hyperparameter optimization with GridSearch. The best accuracy is achieved with a 70:30 ratio, which is 89.82%. Evaluation using the confusion matrix also yields a precision of 92.66%, recall of 94.09%, and an F1 score of 93.38%. The ROC-AUC curve evaluation results in an AUC value of 0.8505. The sentiment analysis results tend to lean towards positive sentiment, indicating a high level of user satisfaction with the Maxim application. Based on these sentiment results, developers can identify what aspects of the Maxim application need to be maintained and improved.
AUGMENTED REALITY AS A LEARNING FOR PROCESSING AND MARKETING WATER HYACINTH PRODUCTS IN PERUM JASA TIRTA II WITH PRISM METHOD Ika Putri Puspitasari; Deden Witarsyah
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 3 (2024): EDISI 21
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i3.4230

Abstract

Perum Jasa Tirta II (PJT II) has launched the "Clean Lake Gold Achieved" program, aimed at utilizing water hyacinth in the Jatiluhur waters to create economically valuable handicrafts and organic fertilizers. In an effort to support its fostered MSMEs (Micro, Small, and Medium Enterprises), PJT II intends to use Augmented Reality (AR) technology as a learning and marketing tool to facilitate the study and marketing of water hyacinth products by PJT II's MSMEs. The method used is a Systematic Literature Review guided by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), which includes identification, screening, inclusion, and eligibility of literature. The results of the PRISMA method identified 7 (seven) articles that meet criteria such as the year of publication in the last 5 years, related to AR, MSMEs, Learning, Innovation which are used as references for this study, which show that the application of AR in PJT II-assisted MSMEs can improve efficiency and product quality, as well as offer greater innovation and appeal to the market. The implementation of AR has proven effective in enhancing consumer engagement and supporting local economic growth.
Counseling on Cooperative Management as a Driving Force for Economic Empowerment at the Sukamiskin Islamic Boarding School Bandung Kartawinata, Budi Rustandi; Akbar, Aldi; Hidayat, Agus Maolana; Witarsyah, Deden; Hamami, Faqih; Pratiwi, Oktaria Nurul; Ahmad, Mokhtarrudin; Zahid, Azham; Sujak, Aznul Fazrin bin Abu; Razali, Raja Razana Raja; Mangsor, Miza
Journal of Community Service and Society Empowerment Том 2 № 02 (2024): Journal of Community Service and Society Empowerment
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jcsse.v2i02.708

Abstract

This Community Service aims to provide understanding to cooperative administrators and students at the Sukamiskin Islamic Boarding School regarding the benefits and effective management strategies of cooperatives. The method used in this research is interviews and direct observation of cooperative administrators and students involved in cooperative activities. The research results show that counseling about cooperative management is very important to increase the understanding and skills of cooperative administrators and students in managing cooperatives. In this outreach, information and training is provided regarding the basic principles of cooperative management, financial planning, risk management and marketing of cooperative products. With this outreach, it is hoped that cooperative management at the Sukamiskin Islamic Boarding School can become more effective and have a positive impact on community economic empowerment. Cooperative administrators and students will become more competent in managing cooperatives, so that they can generate better income for their members. Counseling on cooperative management as a driving force for economic empowerment at the Sukamiskin Islamic Boarding School, Bandung City is very important to increase the understanding and skills of cooperative administrators and students in managing cooperatives. It is hoped that this counseling can provide significant benefits in increasing the income and welfare of cooperative members.
Ransomware attack awareness: analyzing college student awareness for effective defense Syamsuar, Dedy; Pakdeetrakulwong, Udsanee; Jacob, Deden Witarsyah; Chandra, Felixius Arelta
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 2: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i2.pp1122-1130

Abstract

There are growing concerns about security as the usage of computers in academic settings continues to increase. This research aims to investigate the level of awareness among university students regarding security threats associated with ransomware. This study examines students' behaviour and preventive motivation for ransomware attacks, along with the measures taken to mitigate these security threats. The study model combines the theory of planned behaviour (TPB) and preventive motivation theory (PMT) with additional threat awareness (TA) variables. The research findings indicate a high level of awareness regarding the dangers. TA has a positive influence on other factors, as indicated by the significant t-values (perceived severity (PS)=4.479, perceived vulnerability (PV)=3.251, response efficacy (RE)=14.344, and self-efficacy (SE)=8.034). This research also demonstrates that subjective norm (SN) and affective responses (AR) have a key impact on behavioural intention (BI). Moreover, two of the preventive motivation factors, PS and PV, significantly contribute to BI, while the other two (RE and SE) did not show a significant contribution to BI.
Systematic Literature Review on Augmented Reality with Persuasive System Design: Application and Design in Education and Learning Nasirudin, Mohd Asrul; Md Fudzee, Mohd Farhan; Senan, Norhalina; Che Dalim, Che Samihah; Witarsyah, Deden; Erianda, Aldo
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2702

Abstract

Augmented Reality (AR) is an innovative technology that has gained significant scholarly attention. It uses computer-generated sensory inputs like visuals, sounds, and touch to enhance how we perceive the real world, providing a transformative impact on human sensory experiences. Motivated by the possibilities of augmented reality (AR) in the realm of the educational learning environment, this research aims to document the evolving landscape of augmented reality (AR) applications in education and training, with a specific emphasis on the incorporation of persuasive system design (PSD) elements. The study also explores the diverse technologies and methodologies for developing these applications. A systematic literature review was conducted, analyzing 44 articles following the protocol for PRISMA assessments. Four research questions were formulated to investigate trends in AR applications. Between 2016 and 2023, publications on AR applications doubled, with a significant focus on the educational field. Marker-based AR methods dominated (68.49%), while markerless methods constituted 31.51%. Unity and Vuforia were the most used platforms, accounting for 77.27% of applications. Most research papers assessed application effectiveness subjectively through custom-made questionnaires. University students were identified as the primary target users of AR applications. Only a few applications integrated persuasive elements, even for adult users. This highlights the need for further studies to fully grasp the possibilities of combining persuasive system design with augmented reality applications in education
Analisis Sentimen Dan Pemodelan Topik Terhadap Aplikasi Pembelajaran Online Pada Platform Google Play (Studi Kasus: Quipper) Gosal, Yose Thimothy; Oktariani Nurul Pratiwi; Iqbal Yulizar Mukti; Deden Witarsyah
Jurnal Ilmiah Komputasi Vol. 23 No. 4 (2024): Jurnal Ilmiah Komputasi : Vol. 23 No 4, Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.23.4.3663

Abstract

Kemajuan teknologi informasi dan komunikasi pada era Industri 4.0 telah mengubah metode pengajaran di berbagai lembaga, termasuk melalui aplikasi e-learning seperti Quipper. Quipper memanfaatkan teknologi untuk mendukung pembelajaran. Analisis sentimen ulasan pengguna di Google Play diperlukan untuk memahami persepsi pengguna terhadap aplikasi ini. Penelitian ini menggunakan algoritma K-Nearest Neighbor (KNN) untuk klasifikasi sentimen dan Latent Dirichlet Allocation (LDA) untuk identifikasi topik utama dalam ulasan. Algoritma KNN, dipilih karena kesederhanaannya dan akurasi tinggi, menghasilkan akurasi 84.68%, precision 86.40%, recall 85.87%, dan F1-score 86.09% dengan nilai K terbaik 14. Sebagian besar ulasan bersifat positif (55.1%), menunjukkan kepuasan pengguna terhadap Quipper. Analisis LDA mengidentifikasi topik utama dari ulasan positif dan negatif, yang mengungkap aspek-aspek spesifik yang perlu diperbaiki oleh Quipper untuk meningkatkan kepuasan pengguna. Kata kunci: Analisis Sentimen, K-NN, LDA, Pemodelan Topik, dan Quipper
Co-Authors A A Abushammala, Haneen Abdullah, Railey Shahril Abel Junando Adila Chusnul Fatiyah Adityas Widjajarto Adventus Angga Kurniawan Afdillah, Dwivi Agus Maolana Hidayat Ahmad Musnansyah Ahmad, Mokhtarrudin Akbar, Moh Adli Aldi Akbar Aldi Mustafri Aldo Erianda, Aldo Almohab, Hadi Ambarita, Ruth Sesilya Andri Gautama Suryabrata Andri Gautama Suryabrata, Andri Gautama Asim Shahzad Bangun, Agita Oktavian Bin Salamat, Mohamad Aizi Budi Rustandi Kartawinata Chandra, Felixius Arelta Che Dalim, Che Samihah Dedy Syamsuar Dermawan, M Farhan Hussaini Fa'rifah, Riska Yanu Fabiyola Nindya Susilo Fakhrurroja, Hanif Faqih Hamami Fauzi, Rokhman Fiqih Muhammad Haekal Rosyadi Gosal, Yose Thimothy Hairulnizam Mahdin Hairulnizam Mahdin Hairulnizam Mahdin Hamami, Fakqih Haniyah , Salma Ika Putri Puspitasari Ikhsan Yudha Pradana Iqbal Yulizar Mukti Kamil, Andhika Ihsan Lukman Abdurrahman Mangsor, Miza Marheni Eka Saputri Maria Imdad Maskat, Ruhaila MD Fudzee, Mohd Farhan Melinsye Herliani Ahab Mohamad Aizi Bin Salamat Mohamad Aizi Bin Salamat, Mohamad Aizi Mohd Ariffin, Nor Hapiza Mohd Farhan MD Fudzee Mohd Farhan MD Fudzee, Mohd Farhan Mohd Izuan Hafez Ninggal Mohd Sanusi Azmi Mokhairi Makhtar Mufriz, Muhammad Fadwa Muhammad Fadhly Arham Muhammad Mufti Kamil Muhammad Mufti Kamil, Muhammad Mufti Muhammad Ridwan Aam Muharman Lubis Nadila Lintang Hapsari Nasirudin, Mohd Asrul Nazri Mohd Nawi Nur’Aifaa Zainudin Oktariani Nurul Pratiwi Pakdeetrakulwong, Udsanee Parasetia Abu Aditya Praditha, Villy Satria Pratiwi, Oktaria Nurul Puspitasari, Aprilia Mega Putra, Hidayatul Aji Adika Putri Kurniawati R. Wahjoe Witjaksono Rachmadita Andreswari Rayinda Pramuditya Soesanto Razali, Raja Razana Raja Rio Savero Aranov Rizky Afrian Renadri Rizky Afrian Renadri, Rizky Afrian Robby Dwi Hartanto Ruhaila Maskat Saabira, Nadia Seah, Choon Sen Senan, Norhalina Seno Adi Putra Shaharudin, Shazlyn Milleana Shastera Nulizairos, Nur Shaheera Shazlyn Milleana Shaharudin Shazlyn Milleana Shaharudin Soni Fajar Surya Gumilang Sugiat, Maria Sujak, Aznul Fazrin bin Abu Suryabrata, Andri Gautama Sutoyo , Edi Tatang Mulyana Wah Hen, Kai Wicaksono, Hanif Catrio Xia Loh, Yin Yuda, Chairiandi Putra Zahid, Azham Zirawani Baharum Zirawani Baharum