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Multiple Criteria Decision Analysis in HDMI Splitter Selection Using Complex Proportional Assessment Method Arisantoso Arisantoso; Teddy Mantoro; Akeem Olowolayemo; Abdullah Alkalbani
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 4 No. 2 (2022): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v4i2.296

High-Definition Multimedia Interface (HDMI) technology is used for devices such as HDTVs, Projectors, and DVD players. One HDMI cable can only connect one device, even though, when needed, one computer or laptop can be displayed on several televisions or projectors using HDMI Splitter. HDMI Splitter is an accessory that displays content on multiple screens. HDMI Splitter has been circulated with various brands that offer different capabilities and specifications. Therefore, Therefore, thorough consideration is needed in choosing the right HDMI Splitter. This study aims to build a decision support system with the Multiple Criteria Decision Analysis (MCDA) approach using Complex Proportional Assessment (COPRAS). The COPRAS method solves the selection problem by calculating the utility level of alternatives, which shows the extent to which an alternative is better or worse than other alternatives through a comparison process. Based on existing studies, the utility values of each alternative were obtained, namely: Robot HDMI Splitter producing a value of 53.73%, Vention HDMI Splitter producing a value of 65.63%, Bafo HDMI Splitter producing a value of 97.13, and PX HDMI Splitter producing a value of 100%. Hence, based on testing through the black box, the best alternative is PX HDMI Splitter.

Sentiment Analysis for the Brazilian Anesthesiologist Using Multi-Layer Perceptron Classifier and Random Forest Methods Jelita Asian; Moneyta Dholah Rosita; Teddy Mantoro
JOIN (Jurnal Online Informatika) Vol 7 No 1 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i1.900

Sexual harassment is defined as giving sexual attention both verbally, either in speech or writing, and physically to victims who are predominantly women, On July 13, 2022, there was a tweet featuring a video of sexual harassment that made it trend in various countries. The video irritated Twitter users and made various comments resulting in various sentiments that can be analyzed using sentiment analysis. The purpose of this study is to see what the public thinks about the sexual harassment case of Brazilian anesthesiologist. Besides the sentiment analysis, another aim of this study is to see how objective are those sentiments based on their polarity. This study uses a comparison of two methods in sentiment analysis, namely Multi-Layer Perceptron Classifier and Random Forest, and labeling automatically using TextBlob.Â This results in 94.44% accuracy, 94.44% precision, 92% recall and 93% f1_score. For MLP Classifier and accuracy 96.42%, precision 94.44%, recall 96.66% and f1_score 95.56% for Random Forest. Sentiment polarity score from the TextBlob is -0.5 and subjectivity is 0.4 which indicates that most statements are negative and subjective score is 0.4, which means those sentiments are subjective in nature.

Face Recognition of Indonesia’s Top Government Officials Using Deep Convolutional Neural Network Umar Aditiawarman; Dimas Erlangga; Teddy Mantoro; Lutfil Khakim
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 1 (2023): February 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i1.4437

Facial recognition is a part of Computer Vision that is used to get facial coordinates from an image. Many algorithms have been developed to support Facial Detection such as Cascade Face Detection using Haar-Like features and AdaBoost to classify its Cascade and Convolutional Neural Network (CNN). Face recognition in this study uses the Deep Convolutional Neural Network (DCNN) method, and the output of this method is the measurement value of the face. In the model training process, Triplet Loss from Triplet Network Deep Metric Learning is used to get good face grouping results. The value of this face measurement will then be measured using the Euclidean distance calculation to determine the similarity of the input face from the dataset. This Research is using 6 images of Government officers in Indonesia to determine the accuracy of the model when there is a new picture of these officers inputted into the training machine. The result provides a 94% accuracy level with a variety of face positions and levels of brightness.

Social Network Analysis: Identification of Communication and Information Dissemination (Case Study of Holywings) Umar Aditiawarman; Mega Lumbia; Teddy Mantoro; Adamu Abubakar Ibrahim
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.911

Social media especially Twitter has been used by corporation or organization as an effective tool to interact and communicate with the consumers. Holywings is one of the popular restaurants in Indonesia that use social media as a tool to promote and disseminate information regarding their products and services. However, one of their promotional items has gone viral and invited public protests which turned into a trending topic on Twitter for a couple of weeks. Holywings allegedly improperly promoted their products by using the most honorable names, “Muhammad” and “Maria”. Social network analysis of Twitter data is conducted to identify and examine information circulating among the users, which leads to wider public attention and law enforcement. In this study, we focused on the conversation about Holywings on Twitter from 24 June to 31 July 2022. The analysis was carried out using Python to retrieve data and Gephi software to visualize the interactions and the intensity of the network group in viewing the spread of information. The findings reveal the centrality account that caused the news to go viral are the CNN Indonesia (@CNNIndonesia) news media account and Haris Pertama (@knpiharis), with a centrality of 0.161 and 0.282, respectively. There are also 121 groups involved in the conversation with modularity of 0.821.

Analisa Hubungan Nilai Indeks Sistem Pemerintahan Berbasis Elektronik Terhadap Jumlah Kasus Web-Defacement Menggunakan Regresi Linear Agung Nugroho; Achmad Farid Wadjdi; Teddy Mantoro
Computer Science Research and Its Development Journal Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

The government has established an electronic-based government system (SPBE) program to realize clean, effective, transparent and accountable government governance as well as quality and trustworthy public services implemented with the principles of effectiveness, integration, continuity, efficiency, accountability, interoperability and security. . The implementation of SPBE has been evaluated with the achievement of 16 government agencies receiving a very good title in monitoring and evaluating the implementation of the Electronic Based Government System (SPBE) in 2022. During 2022, there were several agencies with excellent predicates who reported cases of web defacement in their electronic systems. via the zone-h.org site as an open publication media regarding web defacement cases. The National Cyber and Crypto Agency (BSSN) said that during 2022 there would be 2,348 cases of web defacement with the sector most affected by web defacement attacks being the Government Administration sector with a total of 885 cases. This research analyzes the influence between the SPBE index value as the independent variable and the number of web defacement cases as the dependent variable using a simple linear regression statistical method to see the gap in the relationship between the SPBE index and cyber attack cases in the form of web defacement cases that occurred at SPBE agencies. The research was carried out using quantitative research methods to process research data using a simple linear regression method. In the research, the results showed that F count = 2,363978 < from F table = 4,60011 , so it was concluded that there was no relationship between the SPBE index value and the number of web defacement cases in agencies that received excellent predicate

Elementary School Library Automation System Implementation Bhakti, Muhammad Agni Catur; Mantoro, Teddy; Ayu, Media Anugerah; Tarigan, William Hazkel; Effendi, Nicholas Lasca; Wandy, Wandy
Journal of Community Services: Sustainability and Empowerment Vol. 2 No. 02 (2022): September 2022
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/jcsse.v2i2.307

A library is essential in education, especially in elementary schools. SD Negeri Rambutan 03 Pagi Jakarta is a public school in East Jakarta with a library. The school library was managed manually, where books with detailed information were stored on a spreadsheet. Some library processes could not perform well, such as tracing how many books were on loan. Based on this situation, a library management system was required to support library activities. Sampoerna University had several collaborations with SD Negeri Rambutan 03 Pagi Jakarta for community services, a workshop, and an internship. In this community service opportunity, We used a qualitative method with internal discussions and literature reviews. We provided a dedicated server machine to be placed on-premise. This machine will be a library automation system over the school's Local Area Network (LAN). Senayan Library Management System (SLiMS) was chosen to be installed on the server because it has the required features to support the school library. One of the essential things is that SLiMS is free and open source. The library automation system has been successfully implemented, and there will be future community service activities to continue the library system development.

Text mining approaches for analyzing an Indonesian tafseer and translation of the holy Quran Ayu, Media Anugerah; Irawan, Edi; Mantoro, Teddy
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1469-1480

The Indonesian tafseer and translation of Holy Quran is an important source of information and knowledge for Indonesian muslims, since not many Indonesian muslims understand Arabic language in the Quran. However, the tafseer is full of the commentaries and explanation of each surah (chapter) and/or ayah (verse), which form a large document and not so easy to be accessed. Thus, the challenge is how to refer to both tafseer and translation in faster and accurate ways as one needs to always refer to them back and forth. Hence, this study proposes several text mining approaches, i.e. most frequent words, K-means clustering, and association rules, to analyze an Indonesian tafseer and translation of Quran and provide insights of hidden knowledge and relationships based on statistical information derived from it. These insights could be useful for muslims in general and for people that doing research in related areas. This study shows interesting results from combined analysis of the approaches used which can help people accessing information in tafseer more efficiently. As well, interesting relationships have been drawn from terms in the tafseer which could provide further and deeper knowledge on messages in the Quran.

Analisa Hubungan Nilai Indeks Sistem Pemerintahan Berbasis Elektronik Terhadap Jumlah Kasus Web-Defacement Menggunakan Regresi Linear Nugroho, Agung; Achmad Farid Wadjdi; Teddy Mantoro
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.16.1.2024.55-65

The government has established an electronic-based government system (SPBE) program to realize clean, effective, transparent and accountable government governance as well as quality and trustworthy public services implemented with the principles of effectiveness, integration, continuity, efficiency, accountability, interoperability and security. . The implementation of SPBE has been evaluated with the achievement of 16 government agencies receiving a very good title in monitoring and evaluating the implementation of the Electronic Based Government System (SPBE) in 2022. During 2022, there were several agencies with excellent predicates who reported cases of web defacement in their electronic systems. via the zone-h.org site as an open publication media regarding web defacement cases. The National Cyber and Crypto Agency (BSSN) said that during 2022 there would be 2,348 cases of web defacement with the sector most affected by web defacement attacks being the Government Administration sector with a total of 885 cases. This research analyzes the influence between the SPBE index value as the independent variable and the number of web defacement cases as the dependent variable using a simple linear regression statistical method to see the gap in the relationship between the SPBE index and cyber attack cases in the form of web defacement cases that occurred at SPBE agencies. The research was carried out using quantitative research methods to process research data using a simple linear regression method. In the research, the results showed that F count = 2,363978 < from F table = 4,60011 , so it was concluded that there was no relationship between the SPBE index value and the number of web defacement cases in agencies that received excellent predicate

Improving MCDM University Rankings through Statistical Validation Using Spearman’s Correlation and THE Benchmark Andryana, Septi; Mantoro, Teddy; Gunaryati, Aris; Raffliansyah, Alfarizky Esah
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.796

The evaluation of higher education institutions is a critical field for informing data-driven policy and institutional benchmarking. A key problem in this area is the lack of transparency and consistency in university rankings, particularly when using Multi-Criteria Decision-Making (MCDM) methods such as MABAC and MAIRCA, with limited research on how weighting techniques affect the reliability and alignment of these rankings with international standards like the Times Higher Education (THE) Rankings. This study proposes the use of MABAC and MAIRCA methods combined with two weighting techniques—Rank Order Centroid (ROC) and Rank Sum (RS)—to assess 20 top Indonesian universities based on five performance indicators: research quality, research environment, teaching, industry, and international outlook. Spearman’s rank correlation is used to compare the MCDM-generated rankings with THE Rankings 2025. The study contributes empirical evidence on the impact of weighting schemes on the consistency and reliability of university rankings and demonstrates that the MAIRCA-ROC method achieves the highest agreement with THE Rankings, with a correlation coefficient of 0.8135 and a p-value of 0.00001. These results validate the use of MCDM methods in higher education evaluation and emphasize the importance of selecting appropriate weighting techniques to develop transparent and robust ranking frameworks that support evidence-based policy decisions.

Pemberdayaan Petani Kopi Manggarai Timur melalui Optimisasi Pemasaran Berbasis Website Interaktif Andryana, Septi; Teddy Mantoro; Ben Rahman; Aris Gunaryati; Mohammad Iwan Wahyuddin; Abdul Rahman Wijaya Putra
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 3 (2025): Agustus
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v4i3.223

Indonesia is one of the world's leading coffee producers, offering a wide variety of flavors and characteristics across its regions, including the eastern part of the archipelago. One promising area is Rende Nao Village, located in Lamba Leda Timur District, East Manggarai Regency, which is known for its Colol coffee. Despite its high quality and strong market potential, the use of digital media for marketing remains limited. The East Manggarai Coffee Farmers Association (ASNIKOM) has established an official website; however, low levels of digital literacy and ineffective content management hinder efforts to expand market reach and build a strong digital product identity. In response to these challenges, this community engagement program was conducted to introduce the concept of an interactive website as an initial strategy to enhance the digital marketing capacity of local coffee farmers. The program employed a participatory and educational approach, involving discussions, needs assessments, and demonstrations of basic website features. Rather than focusing on advanced technical training, the initiative emphasized conceptual understanding and content planning based on local input. As a result, the program increased awareness of the potential of digital marketing and led to the development of an initial strategy for ASNIKOM’s website, laying the foundation for strengthening farmers’ digital competencies as an adaptive step toward sustainable and technology-based coffee marketing practices.

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