Articles
<![CDATA[STRATEGI PENGEMBANGAN HUTAN RAKYAT PINUS DI KABUPATEN HUMBANG HASUNDUTAN, SUMATERA UTARA ]]>
<![CDATA[Sanudin, Sanudin]]>
<![CDATA[ ISSN 0216-0897 ]]>
Publisher : <![CDATA[Pusat Penelitian dan Pengembangan Perubahan Iklim dan Kebijakan ]]>
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<![CDATA[Penelitian ini bertujuan untuk mengetahui faktor-faktor utama yang mempengaruhi pengembangan hutan rakyat pinus (Pinus merkusii) di Humbang Hasundutan serta merumuskan strategi yang tepat bagi pengembangan hutan rakyat pinus berdasarkan faktor-faktor yang mempengaruhinya tersebut. Metode yang digunakan yaitu dengan cara mengidentifikasi faktorfaktor yang berpengaruh kuat terhadap usaha tersebut dengan menggunakan analisis SWOT (strengths, weaknesses, opportunities, dan threats) berdasarkan pendapat dari para responden yang mengetahui dengan baik mengenai hutan rakyat pinus. Hasil penelitian menunjukkan bahwa faktor utama untuk unsur kekuatan yang mempengruhi pengembangan hutan rakyat pinus di Humbang Hasundutan adalah kesesuaian tempat tumbuh dengan nilai pengaruh 0,72; dan unsur kelemahan adalah lemahnya akses petani terhadap pasar dengan nilai pengaruh 0,57. Faktor utama unsur peluang adalah adanya pasar dengan nilai pengaruh 0,81; dan faktor dominan unsur ancaman adalah menurunnya minat masyarakat terhadap pengusahaan pinus dengan nilai pengaruh 0,85. Strategi yang paling sesuai untuk mempertahankan usaha hutan rakyat pinus di Kabupaten Humbang Hasundutan adalah strategi ST (Strengths-Threats), yaitu melalui: 1) pengembangan sistem insentif melalui peningkatan fasilitasi dari berbagai elemen sesuai peran dan fungsinya untuk lebih memberdayakan masyarakat, dan 2) pengembangan kelembagaan pasar yang menciptakan iklim kondusif untuk usaha.]]>
<![CDATA[The Bamboo Business in Tasikmalaya, Indonesia, During the COVID-19 Pandemic ]]>
<![CDATA[Widiyanto , Ary]]>;
<![CDATA[Suhartono, Suhartono]]>;
<![CDATA[Utomo , Marcellinus]]>;
<![CDATA[Ruhimat, Idin Saepudin]]>;
<![CDATA[Widyaningsih, Tri Sulistyati]]>;
<![CDATA[Palmolina, Maria]]>;
<![CDATA[Fauziyah, Eva]]>;
<![CDATA[Sanudin, Sanudin]]>
<![CDATA[ Forest and Society Vol. 5 No. 2 (2021): NOVEMBER ]]>
Publisher : <![CDATA[Forestry Faculty, Universitas Hasanuddin ]]>
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DOI: 10.24259/fs.v5i2.13704
<![CDATA[Globally, various sectors were adversely affected by the emergence of the COVID-19 pandemic. Therefore, this study aims to determine the economic condition of bamboo craftsmen in Mandalagiri Village, Leuwisari District, Tasikmalaya Regency, West Java Province, Indonesia. This is an in-depth research with data obtained by interviewing 35 bamboo craftsmen with various products and production scales. The results showed that craftsmen were not economically affected by the pandemic rather by the central government-stipulated regulation on social distancing, which led to their inability to transport their product from Tasikmalaya to Jakarta and other regions. However, since the government lifted the ban, their income has increased by an average of 2%. The result further showed that the main factor that keeps craftsmen from being negatively affected by the pandemic is the increasing online market demand supported by the availability of raw materials and the ability to adapt to various new model products. Other factors linked to the national market and products answer the demand of the modern market in the cities. Meanwhile, the main factors that positively affect the craftsmen's income are age and marital status.]]>
<![CDATA[Implementing Internet Of Things (IOT) Technology For Real-Time Detection And Monitoring Of LPG Gas Leaks ]]>
<![CDATA[Effendi, M Makmun]]>;
<![CDATA[Zy, Ahmad Turmudi]]>;
<![CDATA[Sanudin, Sanudin]]>
<![CDATA[ Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024 ]]>
Publisher : <![CDATA[SEAN Institute ]]>
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<![CDATA[The Currently, LPG (Liquefied Petroleum Gas) is a vital resource for many households in Indonesia, as highlighted by the government's initiative to convert from kerosene to gas as a cooking fuel. The widespread adoption of LPG is attributed to its affordability and efficiency. However, the flammable nature of LPG poses significant risks, particularly in the event of leaks, which can lead to explosions and fires. This research aims to develop a system that monitors and detects gas leaks in real-time to prevent such hazardous incidents. The proposed system utilizes Internet of Things (IoT) technology, incorporating MQ-6 gas sensors and Raspberry Pi to detect LPG leaks. The MQ-6 sensors are capable of identifying the presence of gas, while the Raspberry Pi processes the data and sends notifications in the event of a leak. The methodology includes literature reviews, user interviews, and data analysis to design an effective monitoring system. The results indicate that the system can accurately detect gas leaks and provide real-time alerts via SMS or a mobile application. In conclusion, this study demonstrates that an IoT-based monitoring and detection system for LPG leaks can significantly enhance safety by enabling prompt responses to gas leaks. This system not only benefits users by facilitating quicker leak management but also contributes to broader safety measures in residential and commercial environments.]]>
<![CDATA[Naive Bayes Algorithm for Sentiment Analysis on Spider-Man Movie: No Way Home: Data Mining ]]>
<![CDATA[Makarim, Ziddan]]>;
<![CDATA[Nawangsih, Ismasari]]>;
<![CDATA[Sanudin, Sanudin]]>
<![CDATA[ Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024 ]]>
Publisher : <![CDATA[Information Technology and Science (ITScience) ]]>
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DOI: 10.47709/cnahpc.v6i4.4845
<![CDATA[The rapid development of streaming platforms has significantly changed the landscape of movie consumption. The ease of access and social interaction in online communities has led to the creation of a new pop culture around movies. One interesting phenomenon is the movie Spider-Man: No Way Home, which sparked heated and viral conversations on various social media platforms. This research aims to analyze audience sentiment towards the movie Spider-Man: No Way Home using Naïve Bayes algorithm. Review data collected from online platforms was processed to identify positive and negative sentiments. The choice of Naïve Bayes algorithm is based on its efficiency and ability to classify text. The results showed that the model built was able to classify sentiment with an accuracy of 72.34%. The model is more effective in identifying positive reviews than negative, indicating a positive response from the majority of viewers. However, the model still needs to improve its performance in classifying negative sentiments. This research makes an important contribution in understanding audience preferences and evaluating the success of a movie, especially in the context of the digital era. The results can be utilized by the film industry to improve production quality, marketing strategies, and content development that is more relevant to audience preferences. In addition, this research also opens up opportunities for further development, such as the use of more complex algorithms or combining with other sentiment analysis techniques, as well as application to various types of social media content.]]>
<![CDATA[Prediksi Pasien Terkena Penyakit HIV Dengan Algoritma K-Nearest Neighbor (KNN) di RSUD Dr.Chasbullah Abdul Madjid Kota Bekasi ]]>
<![CDATA[Firdaus, Abdul Aziz]]>;
<![CDATA[Sanudin, Sanudin]]>;
<![CDATA[Aceng Badruzzaman]]>
<![CDATA[ JURNAL PARADIGMA : Journal of Sociology Research and Education Vol. 6 No. 1 (2025): (JUNI 2025) JURNAL PARADIGMA: Journal of Sociology Research and Education ]]>
Publisher : <![CDATA[Labor Program Studi Pendidikan Sosiologi ]]>
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DOI: 10.53682/jpjsre.v6i1.11357
<![CDATA[HIV/AIDS is a global health concern present in almost every part of the world. The advancement of information system technology has helped solve various problems across different fields, one of which is through the application of data mining. The utilization of data mining is not only implemented in the healthcare sector but also in the technology industry. One method to predict patients who potentially have HIV/AIDS is by using Machine Learning (ML). ML aims to train models with algorithms capable of performing statistical analysis using Supervised Learning techniques to generate accurate predictions. Prediction is one of the most important statistical elements in the decision-making process. This research uses the K-Nearest Neighbor algorithm, which classifies data based on the majority class of K nearest neighbors. The algorithm is combined with the SMOTETomek technique as a resampling method to address data containing noise and class imbalance problems. The dataset used to train the K- Nearest Neighbor model comes from the Voluntary Counselling and Testing (VCT) unit with a total of 2,205 data points. The disease testing prediction results are then processed and visualized in a website format. Based on testing conducted using Confusion Matrix, the model’s performance measurement results show and Accuracy value of 97.96%, Precision of 78.61%, Recall of 98.88%, and f1-score of 84.45%. The results indicate that the use of machine learning is quite effective for implementation in HIV/AIDS disease prediction.]]>
<![CDATA[Prediksi Pasien Terkena Penyakit HIV Dengan Algoritma K-Nearest Neighbor (KNN) di RSUD Dr.Chasbullah Abdul Madjid Kota Bekasi ]]>
<![CDATA[Firdaus, Abdul Aziz]]>;
<![CDATA[Sanudin, Sanudin]]>;
<![CDATA[Aceng Badruzzaman]]>
<![CDATA[ JURNAL PARADIGMA : Journal of Sociology Research and Education Vol. 6 No. 1 (2025): (JUNI 2025) JURNAL PARADIGMA: Journal of Sociology Research and Education ]]>
Publisher : <![CDATA[Labor Program Studi Pendidikan Sosiologi ]]>
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DOI: 10.53682/jpjsre.v6i1.11357
<![CDATA[HIV/AIDS is a global health concern present in almost every part of the world. The advancement of information system technology has helped solve various problems across different fields, one of which is through the application of data mining. The utilization of data mining is not only implemented in the healthcare sector but also in the technology industry. One method to predict patients who potentially have HIV/AIDS is by using Machine Learning (ML). ML aims to train models with algorithms capable of performing statistical analysis using Supervised Learning techniques to generate accurate predictions. Prediction is one of the most important statistical elements in the decision-making process. This research uses the K-Nearest Neighbor algorithm, which classifies data based on the majority class of K nearest neighbors. The algorithm is combined with the SMOTETomek technique as a resampling method to address data containing noise and class imbalance problems. The dataset used to train the K- Nearest Neighbor model comes from the Voluntary Counselling and Testing (VCT) unit with a total of 2,205 data points. The disease testing prediction results are then processed and visualized in a website format. Based on testing conducted using Confusion Matrix, the model’s performance measurement results show and Accuracy value of 97.96%, Precision of 78.61%, Recall of 98.88%, and f1-score of 84.45%. The results indicate that the use of machine learning is quite effective for implementation in HIV/AIDS disease prediction.]]>
<![CDATA[Analisis Cara Berpikir Kritis Pada Hasil Belajar Matematika Siswa Berdasarkan Gender Kelas IV Di SDN 2 Sutawinangun Kecamatan Kedawung Kabupaten Cirebon ]]>
<![CDATA[Nabila, Nabila]]>;
<![CDATA[Apriliani, Reva]]>;
<![CDATA[Sanudin, Sanudin]]>
<![CDATA[ GENFABET: Generasi Pendidikan Dasar Vol. 1 No. 1 (2024): GENFABET: Generasi Pendidikan Dasar ]]>
Publisher : <![CDATA[CV. Akademi Merdeka ]]>
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DOI: 10.70152/genfabet.v1i1.7
<![CDATA[This study aims to describe how critical thinking skills of students in mathematics in grade IV through a critical thinking ability test sheet consisting of 7 questions. This study was conducted at SDN 2 Sutawinangun in the odd semester of the 2022/2023 school year with all populations in the study being all grade IV students of SDN 2 Sutawinangun. The technique for data collection used was a test technique which was used to measure students' critical thinking skills on square and rectangle material. While for data analysis using qualitative descriptive analysis. Based on the results of the data analysis that have been obtained, the average percentage for the thinking skills of grade IV students is 78.26 and is in the sufficient category.]]>
<![CDATA[Naive Bayes Algorithm for Sentiment Analysis on Spider-Man Movie: No Way Home: Data Mining ]]>
<![CDATA[Makarim, Ziddan]]>;
<![CDATA[Nawangsih, Ismasari]]>;
<![CDATA[Sanudin, Sanudin]]>
<![CDATA[ Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024 ]]>
Publisher : <![CDATA[Information Technology and Science (ITScience) ]]>
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DOI: 10.47709/cnahpc.v6i4.4845
<![CDATA[The rapid development of streaming platforms has significantly changed the landscape of movie consumption. The ease of access and social interaction in online communities has led to the creation of a new pop culture around movies. One interesting phenomenon is the movie Spider-Man: No Way Home, which sparked heated and viral conversations on various social media platforms. This research aims to analyze audience sentiment towards the movie Spider-Man: No Way Home using Naïve Bayes algorithm. Review data collected from online platforms was processed to identify positive and negative sentiments. The choice of Naïve Bayes algorithm is based on its efficiency and ability to classify text. The results showed that the model built was able to classify sentiment with an accuracy of 72.34%. The model is more effective in identifying positive reviews than negative, indicating a positive response from the majority of viewers. However, the model still needs to improve its performance in classifying negative sentiments. This research makes an important contribution in understanding audience preferences and evaluating the success of a movie, especially in the context of the digital era. The results can be utilized by the film industry to improve production quality, marketing strategies, and content development that is more relevant to audience preferences. In addition, this research also opens up opportunities for further development, such as the use of more complex algorithms or combining with other sentiment analysis techniques, as well as application to various types of social media content.]]>
<![CDATA[Integrasi Sistem Monitoring Pengemasan Document Security dengan Barcode Berbasis Web ]]>
<![CDATA[Shintania, Mira]]>;
<![CDATA[Wiyanto, Wiyanto]]>;
<![CDATA[Sanudin, Sanudin]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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DOI: 10.47065/josh.v5i4.5687
<![CDATA[Rapid technological developments demand innovation and creativity in utilizing and creating new solutions. This also applies to PT Xyz, which is facing digital transformation to integrate its systems. One of the challenges faced is that the packaging monitoring process is still carried out manually using queries on the database, causing limited access and lack of work efficiency Since the only individual with access to the database is the IT division. Research was carried out to build a web-based platform intended for monitoring packaging processes results using barcode numbers where there are 3 packages used, namely small cover, large cover and box cover. This system was developed using the waterfall methodology and SQL Server for the database. It aims to simplify data access for employees, reducing their dependence on the IT department, and enhance the accuracy and efficiency of their workflow by allowing direct data monitoring. Unified Modeling Language (UML) was utilized for system design modeling. The research outcomes include the integration of the packaging monitoring system with current packaging applications. Blackbox testing was employed, and the results confirmed that the barcode-based packaging monitoring system operated correctly without any errors.]]>
<![CDATA[PKM-PENINGKATAN PENGETAHUAN PENCEGAHAN STUNTING KADER POSYANDU MELALUI PEMANFAATAN TEKNOLOGI WHATSAPP GROUP, MEDIA AUDIOVISUAL, DAN KEARIFAN LOKAL ]]>
<![CDATA[Basrowi, Basrowi]]>;
<![CDATA[Muti’ah, Eva]]>;
<![CDATA[Kardi, Kardi]]>;
<![CDATA[Sanudin, Sanudin]]>;
<![CDATA[Rohan, Elip Gozali]]>
<![CDATA[ Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2024): Volume 5 No. 2 Tahun 2024 ]]>
Publisher : <![CDATA[Universitas Pahlawan Tuanku Tambusai ]]>
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DOI: 10.31004/cdj.v5i2.26667
<![CDATA[Permasalahan yang dihadapi mitra antara lain: 1) kurangnya pelatihan peningkatan keterampilan kader posyandu mengenai penggunaan teknologi sebagai media komunikasi, 2) rendahnya pemahaman mengenai whatsapp group dan media audiovisual 3) kurangnya pengetahuan mengenai kolaborasi media social dan audiovisual dengan kearifan local dalam pencegahan stunting. Tujuan pengabdian kepada masyarakat ini untuk meningkatkan keterampilan dan pengetahuan kader kesehatan posyandu mengenai pencegahan stunting, selanjutnya meningkatkan pengetahuan kader posyandu dalam memanfaatkan teknologi komunikasi, serta meningkatkan pengetahuan kader mengenai kolaborasi antara penggunaan media social dan audiovisual dengan kearifan local masyarakat dalam pencegahan stunting. Mitra dalam program pengabdian kepada masyarakat ini adalah kader kesehatan posyandu Desa Kemuning Kecamatan Kresek Kabupaten Tangerang Banten. Metode yang digunakan dalam pengabdian ini adalah metode persuasive dan participatory action. Hasil kegiatan pengabdian kepada masyarakat ini sangat baik, dapat memberikan pengalaman yang berbeda dan peningkatan kompetensi kader kesehatan posyandu di Desa Kemuning dalam memanfaatkan teknologi komunikasi khususnya whatsapp group dan audiovisual terutama kaitannya dengan pencegahan stunting masyarakat sekitar. Dengan adanya pemahaman yang mendalam mengenai pemanfaatan teknologi untuk mendapatkan informasi secara cepat seputar stunting, kader dapat memahami lebih jelas serta mudah dalam melakukan deteksi awal untuk menganalisis keluarga resiko stunting, sehingga data yang didapatkan akurat dan bisa membantu pemerintah desa untuk melakukan intervensi selanjutnya. Hal ini dapat mensukseskan percepatan penurunan stunting di Desa Kemuning.]]>
