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All Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Journal of Software Engineering, Information and Communication Technology Asia Information System Journal Tekmulogi: Jurnal Pengabdian Masyarakat
Muhammad, Raditya
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Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Sistem Deteksi Kecanduan Pornografi Berbasis Chatbot Menggunakan Pornography Addiction Screening Tool (PAST) Muhammad, Raditya; Ardimansyah, Mochamad Iqbal
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2660

Abstract

The use of the internet not only brings benefits but also harms the ease of access to pornographic content. Pornographic content is not solely available on adult websites but is also spread on social media accessed by many children to adults. As a result, problems arise due to pornography addiction, such as rape, sexual orientation deviation, and sexual crimes against children. Uniquely, pornography addiction is hard to detect objectively compared to drug or alcohol addiction. This study aims to develop a pornography addiction detection system in the form of a chatbot-based mobile application. The choice of chatbot is because this system supports interactive automatic communication patterns and guarantees the privacy of its users. This study adopts a psychological measurement technique Pornography Addiction Screening Tool (PAST), as a benchmark in developing application logic. Meanwhile, chatbot application development uses the waterfall method which has been tested by best practices as a software development method. Tests performed are in a developer environment. The system validation mechanism uses the Black-box testing method to observe the execution of the application when it runs the functionality that was designed beforehand. In addition, the usability measurement level application is adopted from the System Usability Scale (SUS) method. From the test results, it was found that the pornography addiction detection system operates normally and can be used as a supporting medium for handling pornography addiction by psychiatrists.
Algoritma SARIMA sebagai Pendukung Strategi Peramalan HPS dalam Persaingan Tender di LPSE Indonesia Fernando, Daud; Syawanodya, Indira; Muhammad, Raditya
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 2 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i2.28009

Abstract

Tender in Indonesia's Electronic Procurement Service (LPSE) is the procurement of goods/services in the form of public facilities and managed by the provider with the lowest estimated price (HPS) value during the reverse auction process. The fluctuating value of HPS and the tight competition of competitors make winning for providers increasingly difficult and competitive. The purpose of this research is to create a forecasting model of the HPS value of tenders in LPSE Indonesia using the Seasonal Autoregressive Integrated Moving Average (SARIMA) algorithm. This type of research is experimental research to determine the order of the best SARIMA model. The research variables used are tender publication date and HPS value as much as 747,098 tender data from historical data from web scraping of the LPSE website with a withdrawal date range of January 7, 2013 to November 30, 2022. The data analysis technique uses data exploration analysis to determine the characteristics of the data distribution and then the implementation of the SARIMA forecasting algorithm. The results of this study show that the SARIMA((5,1,1),(4,1,1,7)) model is the optimal model with an evaluation value of mean absolute percentage error (MAPE) percentage error value of 33.56% which in relation to LPSE can provide a reasonable forecasting value. The results of forecasting for the next 30 days show that the distribution of HPS values is in the range of 680 million - 700 million rupiah in the period December 2022.
Mobile Applications for Self-Handle of Pornography Addiction Muhammad, Raditya; Ardimansyah, Mochamad Iqbal; Wahyuningsih, Yona
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 1 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i1.71488

Abstract

Content with pornographic nuances in the form of images, sound, and videos is widely circulating on the internet, including on social media. Teenagers have great potential to become addicted to pornographic content given the widespread use of the internet among adolescents. Pornography addiction has the potential to interfere with the physical and mental development of addicts, even a wider impact can lead to criminal cases in society, such as rape. This paper discusses the development of mobile applications that aim to help pornographic content addicts get rid of pornography addiction problems. The applications developed include a system for assessing the level of exposure to pornographic content, handling and self-care of pornographic content, and a system for detecting the user's location in solitude. The rating system was adapted from the Pornography Addiction Screening Tool (PAST). Handling and self-care pornographic content use the psychological approach of Cognitive Behavioral Therapy (CBT) which has been widely researched and used as a method for mental treatment and healing. An assessment system for the level of exposure to pornographic content and self-care is presented in the application by utilizing chatbot to increase the interactive between the user and the application. The research method uses the Design Research Methodology (DRM) while the method in developing mobile applications uses Agile models as an adaptive software development method. This application is not intended to replace the role of psychologists, but as a supporting tool that can help pornography addicts to reduce their addiction level until they recover. Through black box testing, evaluation results from a functional perspective show that this application can be used as expected.
Cluster Analysis Of Emotions In Quranic Translations Using K-Means Clustering Fiqri, Muhammad Faisal; Muhammad, Raditya; Ardimansyah, Mochamad Iqbal
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 2: December 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i2.75942

Abstract

Al-Qur’an as the word of Allah is a comprehensive source of knowledge, covering spiritual, moral, social, and psychological aspects, including instructions on the recognition of emotions that have a significant impact on a person's emotional intelligence. This research aims to identify and categorize verses in Indonesian translation of the Quran that contain basic emotions such as anger, disgust, fear, happiness, sadness, and surprise. The process involves data preprocessing, verse search using Vector Space Model, and application of K-Means Clustering algorithm. As a result, the verses can be grouped into four main clusters. The characteristics of the clusters formed include, cluster 0 shows the grouping of verses containing the word “happy”, clusters 1 and 2 respectively show the word “fear”, and cluster 3 shows the word “sad”. The cluster evaluation results obtained using Silhouette Score is 0.442 and Calinski-Harabasz Index is 251.653, which indicates that there is a sign of cluster but there is still some overlap between clusters. In conclusion, this clustering makes an important contribution to the understanding of Quranic interpretation and opens up opportunities for further development in academic studies and religious learning.
Pelatihan Penggunaan Sistem Interaktif sebagai Media Alternatif Penyuluhan Narkoba di Kabupaten Pangandaran Retnowati, Yulia; Muhammad, Raditya; Ardimansyah, Mochamad Iqbal; Hendriyana, Hendriyana; Septiana, Asyifa Imanda; Anggraini, Dian; Syawanodya, Indira
TEKMULOGI: Jurnal Pengabdian Masyarakat Vol 5, No 1 (2025): Mei 2025 [Online First]
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/tmg.v5i1.76032

Abstract

The younger generation is particularly susceptible to the dangers of drug abuse due to the potential long-term consequences associated with narcotics use. Consequently, they often find themselves in the crosshairs of drug trafficking syndicates seeking financial gain. In response to this issue, the government, working in conjunction with the National Narcotics Agency (BNN), has introduced the Program for Prevention, Eradication, Abuse, and Illicit Trafficking of Drug Precursors (P4GNPN) as a strategic measure to combat drug trafficking. Aligned with the broader anti-narcotics movement in Indonesia, our implementation team has launched a training program aimed at harnessing the power of interactive systems to serve as an educational tool on drug-related matters. The primary recipients of this program are teachers who are active members of the Indonesian Teachers Association (PGRI) in Pangandaran Regency. The fundamental objective of employing this interactive system is to empower users with the capability to access drug information and counseling interactively and on a personal basis, regardless of their location or the time of day. The participants have been thoroughly trained in the proper use and effective utilization of this interactive system. According to the feedback obtained through the evaluation process, participants have expressed a clear understanding of the material, and the training has significantly boosted their motivation to carry out anti-drug movements. With the introduction of this community service initiative, we aspire to lend support to the government's and society's collective efforts in addressing the pressing issue of drug abuse among the younger generation.
TOURIST ATTRACTIONS RECOMMENDER SYSTEM USING COLLABORATIVE FILTERING METHODS AND K-NEAREST NEIGHBORS Muhammad, Raditya; Sukmapratama, Fauzan; Khoirunnisa, Nur Azizah
Asia Information System Journal Vol. 2 No. 2 (2023): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/aisj.v2i2.18529

Abstract

The many tourist attractions and their various types certainly benefit tourists. Bandung is a famous tourist center and is visited by many domestic and foreign tourists. However, the large number of tourist attractions in Bandung often makes it difficult for tourists to determine their destination, especially if they only have limited time. This research aims to design a tourist attraction recommendation system based on collaborative filtering and K-Nearest Neighbors which can help users by providing recommendations for suitable tourist attractions by displaying seven tourist attraction recommendations. By using collaborative filtering, the system will recommend the best tourist attractions based on ratings and reviews given by users on the internet. Based on the RMSE test results, the train and test data values are in the range of 0.2 - 0.5, which shows that the accuracy of the model is good.
Co-Authors Dian Anggraini Fernando, Daud Fiqri, Muhammad Faisal Hendriyana Hendriyana INDIRA SYAWANODYA Khoirunnisa, Nur Azizah Mochamad Iqbal Ardimansyah Retnowati, Yulia Septiana, Asyifa Imanda Sukmapratama, Fauzan Yona Wahyuningsih, Yona