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All Journal Jurnal Indo-Islamika TELKOMNIKA (Telecommunication Computing Electronics and Control) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal CoreIT Applied Information System and Management MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Sosiologi Agama Building of Informatics, Technology and Science Journal of Applied Data Sciences
Nashrul Hakiem
Universitas Islam Negeri Syarif Hidayatullah Jakarta
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Sentiment Analysis Of Full Day School Policy Comment Using Naïve Bayes Classifier Algorithm Al Fath, Miftahul Kahfi; Arini, Arini; Hakiem, Nashrul
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10564

Abstract

Sentiment analysis is an important and emerging research topic today. Sentiment analysis is done to see opinion or tendency of opinion to a problem or object by someone, whether it tends to have a negative or positive view. The main purpose of this study is to find out public sentiment on Full Day school's policy comment from Facebook Page of Kemendikbud RI and to find out the performance of the Naïve Bayes Classifier Algorithm. In this study, the authors used the Naïve Bayes Classifier algorithm with trigram and quad ram character feature selection with two different training data models and labeling of training data using Lexicon Based method in the classification of public sentiment toward the Full day school policy. The result of this research shows that public negative sentiment toward Full Day School policy is more than positive or neutral sentiment. The highest accuracy value is the Naïve Bayes Classifier algorithm with trigram feature selection of 300 data training models with a value of 80%. The greater of training data and feature selection used on the Naïve Bayes Classifier Algorithm affected the accurate result.
Mobile-based monitoring system for an automatic cat feeder using Raspberry Pi Nenny Anggraini; Dzul Fadli Rahman; Luh Kesuma Wardhani; Nashrul Hakiem
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14819

Abstract

In a Saheeh hadith it is explained that the cat is a clean animal that is free from najis, so keeping a cat is not something that is forbidden. One of the things that is important when keeping a cat is feeding. However, keeping a cat at home takes time and effort. In this digital era, the use of technology has penetrated all aspects of life. The objective of this research is to create a monitoring system for an automatic cat feeder using a webcam and a stepper motor that is connected to a Raspberry Pi as the main controller. The webcam can take pictures (photographs or videos) processed with the fswebcam and the avconv functions on the Raspberry Pi. The stepper motor can rotate the feed valve by utilising a General-Purpose Input Output (GPIO) pin and a program which is inserted into the Raspberry Pi. Next, the Raspberry Pi will be connected to the Internet and a server network so that the system control can be done remotely by using a web browser or web view on a mobile. The overall function of the system in the form of feeding the cat either directly or scheduled, as well as monitoring of photographs or videos around the feed. The results of a questionnaire showed that this system has a need value of 87.3% of 79 respondent cat keepers, meaning cat keepers will be greatly helped by the existence of this system.
Speech Recognition Application for the Speech Impaired using the Android-based Google Cloud Speech API Nenny Anggraini; Angga Kurniawan; Luh Kesuma Wardhani; Nashrul Hakiem
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.9638

Abstract

Those who are speech impaired (tunawicara in the Indonesian language) suffer from abnormalities in their delivery (articulation) of the language as well their voice in normal speech, resulting in difficulty in communicating verbally within their environment. Therefore, an application is required that can help and facilitate conversations for communication. In this research, the authors have developed a speech recognition application that can recognise speech of the speech impaired, and can translate into text form with input in the form of sound detected on a smartphone. By using the Google Cloud Speech Application Programming Interface (API), this allows converting audio to text, and it is also user friendly to use such APIs. The Google Cloud Speech API integrates with Google Cloud Storage for data storage. Although research into speech recognition to text has been widely practiced, this research try to develop speech recognition, specially for speech impaired's speech, as well as perform a likelihood calculation to see the factor of tone, pronunciation, and speech speed in speech recognition. The test was conducted by mentioning the digits 1 through 10. The experimental results showed that the recognition rate for the speech impaired is about 80%, while the recognition rate for normal speech is 100%.
Pengembangan Sistem Pendeteksi Masker Sesuai Protokol Kesehatan dengan Algoritma Mobilenetv2 dan Raspberry Pi Imam M Shofi; Luh Kesuma Wardhani; Nenny Anggraini; Nashrul Hakiem; Denny Saputra; Ariq Cahya Wardhana
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2250

Abstract

A new type of human coronavirus was discovered in December 2019 in Wuhan, China. In humans, coronaviruses usually cause respiratory tract infections, ranging from the common cold to serious diseases such as Middle East Respiratory (MERS) and Severe Acute Respiratory Syndrome (SARS). This new type of coronavirus was later named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV2) and caused Coronavirus Disease-2019 (COVID-19). COVID-19 can cause mild to severe symptoms. So, wearing a mask and keeping a distance is very important to stop the spread of COVID-19. In previous research, a deep learning model has been developed to identify whether the person is wearing a mask or not. In previous studies, the classification was limited to whether humans wore masks or not. There is no classification as to whether the use of masks is right or wrong and whether the masks worn are masks that are in accordance with the recommendations of the Ministry of Health. So that in this study, the detection system for the use of masks is able to detect the use of masks in accordance with the recommendations of the Indonesian Ministry of Health which refers to the interim WHO Guidelines June 5, 2020, regarding recommendations regarding the use of masks in the context of COVID-19, namely the use of cloth masks, medical masks, and masks. can ensure the cover of the mouth and nose, and adjust to the bridge of the nose. The result is a system with the SSDLite Mobilenet V2 model has the highest FPS compared to a system using a system with SSDMNV2. That is, the maximum FPS obtained is 3.57 FPS and the minimum FPS is 3.45 FPS
IoT-based Integrated System Portable Prayer Mat and DailyWorship Monitoring System Luh Kesuma Wardhani; Nenny Anggraini; Nashrul Hakiem; M. Tabah Rosyadi; Amin Rois
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 22 No 3 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.3058

Abstract

Muslims have various difficulties in praying, such as difficulty memorizing the number of rak’ah they have been doing and determining the direction of the Qibla. In this research, we proposed a technological device for monitoring daily worship in Islam. We presented the IoT-based integrated system as a portable prayer mat serving as a rak’ah counter, Qibla direction finder, and a mobile worship monitoring system. A prototyping approach was used to produce a portable smart prayer mat, and Rapid Application Development was used to develop a mobile daily worship system. The device comprises an Arduino AT Mega 2560 powered portable prayer mat through a force-sensitive resistor sensor and an HMC 5883L compass module. The device sends the prayer activity to the worship applications in detail. The daily worship monitoring application itself has numerous features that enable users to track their daily worship activities, including the Hijri calendar, the time of compulsory prayers, the fulfillment of sunnah prayers, and fasting. Evaluation results showed that the system detected the rak’ah correctly in each cycle with average pressure to the FSR sensor of 81.36. The average time required to connect with a smartphone was 0.862 seconds. It also functions well as a Qibla finder. The black box testing results showed that the device and application performed effectively. It can send the worship data recapitulation to the application using Bluetooth.
Modeling Ramadan Hilal Classification with Image Processing Technology Using YOLO Algorithm Anggraini, Nenny; Zulkifli, Zulkifli; Hakiem, Nashrul
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.311

Abstract

This research aims to create a model for classifying hilal using the YOLO algorithm. The determination of the beginning of the month of Ramadan is an important aspect of the Islamic calendar that has an impact on the implementation of fasting. With technological advances, especially in image processing, there is potential to overcome the limitations of conventional methods currently used in hilal detection for determining the beginning of Ramadan. This research uses the prototyping method in its implementation. The dataset in this research comes from videos on the BMKG Youtube channel and images from various sources such as NASA Planetary Data System and Google Images. YOLOv5 and YOLOv8 algorithms are used to develop the object detection model. The novelty of this research is the use of the YOLO algorithm with video datasets to detect hilal to determine the beginning of the month of Ramadan and Shawwal. The best-performing model, YOLOv5m with 100 epochs and a batch size of 30, achieved a precision of 0.838 and a mAP of 0.5-0.95 of 0.735. The results indicate that YOLOv5m is more effective in hilal detection, providing a novel approach to determine the beginning of Ramadan and Shawwal with greater accuracy and consistency. This integration of advanced object detection technology with religious practice offers a significant improvement over traditional method.
Mediatization and Hypermediation in Digital Religion and the Transformation of Indonesian Muslim Religious Practices through Social Media Usage Sito Rohmawati, Hanung; Zulkifli; Hakiem, Nashrul
Jurnal Sosiologi Agama Vol. 18 No. 2 (2024)
Publisher : Program Studi Sosiologi Agama Universitas Islam Negeri Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jsa.2024.182-01

Abstract

This article examines mediatization and hypermediation in digital religion concerning contemporary Muslim religious practices, particularly in Indonesia, through social media. This study employed a qualitative approach through library study of offline and online sources. The findings reveal that mediatization has altered the way Indonesian Muslims understand and practice their religion. Social media facilitates virtual religious practices and creates a hybrid space between online and offline religious activities. Hypermediation, through platforms such as Instagram and WhatsApp, strengthens individual religious identity and collectively reinforces religious communities. Social media also affects the structure of religious communities by challenging traditional authority through the emergence of popular religious figures in the virtual world. This article contributes significantly to understanding religious transformation in the digital age and is a foundation for further research. The article emphasizes the importance of understanding the social and cultural implications of integrating social media into Muslim religious practices in Indonesia. It highlights the complexity of the relationship between religion, technology, and identity in the current context of digital globalization
Development of Smart Charity Box Monitoring Robot in Mosque with Internet of Things and Firebase using Raspberry Pi Anggraini, Nenny; Zulkifli, Zulkifli; Hakiem, Nashrul
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 24 No 1 (2024)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i1.4209

Abstract

Mosques are the center of Muslim communities’ spiritual and communal life, thus requiring effective financial management. The purpose of this study was to develop a smart donation box robot that utilizes Internet of Things technology to address efficiency and increase transparency in managing donations. The methodology in this study used a prototyping method consisting of Rapid Planning, Rapid Modeling, Construction, and Evaluation stages, which aimed to develop a functional prototype quickly. The results showed that the smart donation box robot detected and counted banknote denominations with varying degrees of success, achieving a detection success rate of 100% for all tested denominations at an optimal sensor distance of 1 cm. However, the detection rate dropped to 42.86% at 0.5 cm and 28.57% at 1.5 cm, highlighting the significant impact of sensor placement on performance. Coin detection was performed accurately, correctly identifying and sorting denominations without error. This enabled real-time financial monitoring via the Telegram application, significantly increasing transparency for mosque administrators and congregants. The conclusion of this study confirms that IoT technology can substantially improve mosque donation management by automating the collection process and providing real-time
The Degree of Religiosity, Motivation, Islamic Personality, and Cultural Values of Software Developers and Their Relevance to Work Behavior Utami, Meinarini Catur; Al Anziy, Misyal S; Rosyada, Dede; Suryani, Erma; Hakiem, Nashrul
JURNAL INDO-ISLAMIKA Vol 14, No 1 (2024)
Publisher : Graduate School of Syarif Hidayatullah State Islamic University Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jii.v14i1.39839

Abstract

The use of the Internet in various fields has grownrapidly, as it makes one's activities more efficient andeffective. This necessitates the development of anapplication specific to its intended use, which in turnrequires a software developer's expertise. Indonesia hasa scarcity of software developers, a situation akin to anIT crisis that indirectly impacts software developerperformance. This study aims to determine the level ofreligiosity, motivation, Islamic personality, and culturalvalue of software developers, as well as theirrelationship to work behavior. A quantitative approachwas used, with 157 respondents from West Java, Jakarta,and Banten surveyed and 15 interviewed. The study'sfindings showed that the respondents' religiosity,motivation, Islamic personality, and cultural values hadalready entered the good category. According torespondents, there was a significant relationshipbetween religiosity, motivation, Islamic personality,cultural values, and work behavior.
Reviewing Factors of Audience Engagement in Live Streaming Subiyakto, Aang; Yudhanta, Satya; Nurmiati, Evy; Utami, Meinarini Catur; Fetrina, Elvy; Sugiarti, Yuni; Hakiem, Nashrul; Huda, Muhammad Qomarul; Sangsawang, Thosporn
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 11, No 1 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v11i1.36039

Abstract

Live streaming has become one of the most prominent digital phenomena in recent years, changing the way individuals interact, consume content and shop online. This study aims to identify and analyze the factors that influence audience engagement in live streaming, including audience motivation, the role of social interaction, technological features, platform distribution, and popular genres. Through a systematic literature review approach, 27 articles from relevant ScienceDirect and DOAJ databases were selected for analysis. The study results show that audience engagement is mainly influenced by parasocial interaction (PSI), entertainment-based motivation (hedonic value), and practical benefits (utilitarian value). Technologies such as live chat, gifting, and data-driven recommendation systems strengthen viewing duration and audience loyalty. In addition, platforms such as Twitch dominate the gaming and esports genres, while TikTok Live thrives in the e-commerce space. New genres such as VTubers and travel offer opportunities to attract a wider audience with avatar-based interaction approaches and virtual experiences. The research also identified gaps in the literature, including a lack of studies on local platforms, new genres, and the impact of innovative technologies such as AR/VR. This study makes an academic contribution by summarizing key findings and providing strategic guidance for platform developers, streamers and businesses in creating more engaging and effective live streaming experiences.
Co-Authors AA Sudharmawan, AA Aang Subiyakto Al Anziy, Misyal S Al Fath, Miftahul Kahfi Amin Rois Angga Kurniawan Anggraini, Nenny Arini Arini Ariq Cahya Wardhana Aulia, Atqia Dana Indra Sensuse Dede Rosyada Denny Saputra Dzul Fadli Rahman Erma Suryani Evy Nurmiati Fetrina, Elvy Heni Pujiastuti Huda, Muhammad Qomarul Imam M Shofi Khairani, Dewi Luh Kesuma Wardhani M. Tabah Rosyadi Meinarini Catur Utami Nenny Anggraini, Nenny Nia Kumaladewi Rizal Broer Bahaweres Rohmawati, Hanung Sito Sangsawang, Thosporn Sarika Afrizal Sarika Afrizal Sarika Afrizal, Sarika Yudhanta, Satya Yuni Sugiarti, Yuni Zawawi, Khoirunnisya Zulkifli Zulkifli Zulkifli Zulkifli