Claim Missing Document
Check
Articles

SENTIMENT ANALYSIS OF GOVERNMENT ON TIKTOK AND X PLATFORMS WITH SVM AND SMOTE APPROACH Dimar Pateman; Tri Ferga Prasetyo; Harun Sujadi
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 4 (2025): JITK Issue May 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i4.6645

Abstract

This study aims to analyze public sentiment toward the government on TikTok and X (formerly Twitter) using the Support Vector Machine (SVM) algorithm optimized with the Synthetic Minority Over-sampling Technique (SMOTE). Data were collected through keyword-based scraping of posts containing the word “pemerintah” (government) and processed using standard NLP pre-processing techniques. Results show that SVM combined with SMOTE significantly improves classification accuracy from 61% to 76% on TikTok, and from 74% to 86% on X. Word cloud analysis confirms these findings: TikTok content tends to reflect neutral and positive sentiments, while X contains predominantly negative expressions. These differences highlight platform-specific public discourse characteristics. The findings suggest that public communication strategies should be tailored accordingly: TikTok for positive narrative and outreach, X for monitoring feedback and criticism. This approach demonstrates the effectiveness of machine learning-based sentiment analysis in supporting data-driven public policy communication.
Comparison of Machine Learning Algorithm for Enzyme Production Optimization from Industrial Waste Bastian, Ade; Fitriyani, Rofi; Susandi, Dony; Pangestu, Arki Aji; Mardiana, Ardi; Sujadi, Harun
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 2 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i2.8212

Abstract

The manufacture of industrial enzymes from trash provides a sustainable remedy for environmental issues. This work investigates machine learning methods to enhance enzyme production from industrial waste by examining critical factors such as waste type and chemical makeup. Three algorithms—Linear Regression, Decision Tree, and Neural Network—were used to estimate and forecast enzyme production. Evaluation criteria, such as Mean Squared Error (MSE) and Coefficient of Determination (R²), were used to evaluate model performance. The results indicated that the Decision Tree method was the most effective, exhibiting lowest error and enhanced accuracy in selecting ideal production factors such as fermentation temperature and time. This method improves efficiency, lowers operating expenses, and encourages sustainable waste management practices. The results highlight the potential of machine learning to convert trash into useful industrial goods, providing a route to more sustainable biotechnology. Future study may enhance hybrid algorithms, include new waste factors, and facilitate real-time implementation for wider industrial applicability.  
Effective Packaging Design as an Empowerment Strategy for Household MSMEs: A Participatory Learning and Action Approach Harti, Adi Oksifa Rahma; Marina, Ida; Sujadi, Harun; Fahrudin, Muhammad; Fitria, Anis Nurul
Unram Journal of Community Service Vol. 5 No. 2 (2024): June
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i2.639

Abstract

Empowering Household Micro, Small, and Medium Enterprises (MSMEs) is a primary focus in local economic development and community economics. One crucial aspect in enhancing the competitiveness and capabilities of Household MSMEs is effective packaging design. Packaging design is not merely about visual aesthetics but also about functionality and interaction with consumers. The Participatory Learning and Action (PLA) method is utilized to develop effective packaging designs, involving MSME actors, consumers, and other relevant parties. This PLA approach is expected to assist Household MSMEs in facing tight market competition. This research proposes community empowerment activities through the production of Rempeyek products in one of the MSMEs in Majalengka, using the PLA method. The success evaluation of the activities is conducted through the four-level evaluation model (Kirkpatrick), covering reaction, learning, behavior, and results. The evaluation results show an improvement in participants' knowledge, understanding, and skills in packaging design. The overall scores indicate that these activities successfully achieve the Kirkpatrick evaluation goals. Recommendations to enhance the implementation of this service development include increasing the capacity of project participants, addressing deeper issues, local government support, and support for domestic industries. This research demonstrates that training and mentoring in packaging design can provide significant benefits to Household MSMEs, enhancing product quality, market value, and competitiveness in a competitive market.
Integration of Microhydro Power Plant with Internet-Based Monitoring System for Energy Independent Villages Sujadi, Harun; Koswara, Engkos; Mardina, Ardi; Abdullah, Fatwa Muhammad Maulid; Subandi, Dipa
Unram Journal of Community Service Vol. 6 No. 1 (2025): March
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i1.782

Abstract

This community service activity aims to integrate Internet of Things (IoT) technology into the monitoring system of a Microhydro Power Plant (PLTMH) in Argamukti Village, Majalengka Regency. The village has significant renewable energy potential, but challenges in real-time energy production monitoring have hindered the plant's optimal performance. By implementing an IoT-based monitoring system, the operational efficiency of the PLTMH can be significantly improved. This program includes training in IoT device installation and guidance for local communities in operating and maintaining the system. The results show a 20% increase in energy production efficiency compared to the period before the monitoring system was implemented. Furthermore, the local community is empowered to manage energy resources independently, supporting the establishment of Energy Self-Sufficient Villages. This initiative aligns with government efforts to promote renewable energy usage in rural areas. The IoT technology implementation also opens opportunities for applications in other sectors such as smart farming and water management, which can sustainably enhance the local community's welfare.
Random Forest-Based Classification of Greywater Filtration Media for Intelligent Biofiltration Systems Sujadi, Harun; Subandi, Dipa; Nurdiana, Nunu
JOIN (Jurnal Online Informatika) Vol 10 No 2 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i2.1623

Abstract

The increasing volume of domestic wastewater, particularly greywater, has raised the demand for intelligent and adaptive treatment systems to support efficient water reuse. This study aims to develop a classification model for filtration media types (physical, chemical, and biological) based on water quality data using the Random Forest algorithm. Initial labeling was conducted using the K-Means Clustering method on a publicly available dataset simulated as greywater, based on ten key water quality parameters relevant to irrigation and environmental standards. Model evaluation demonstrated excellent classification performance, with a macro F1-score reaching 0.97 and consistent results in both 5-fold and 10-fold cross-validation. These findings indicate that the proposed model can be integrated into an IoT-based biofiltration system as an automated classification logic to support adaptive, efficient, and reusable household wastewater treatment in the context of irrigation.
RANCANG BANGUN SISTEM ADMINISTRASI DESA BERBASIS ANDROID DI KANTOR KEPALA DESA KERAMAT JAYA KABUPATEN MAJALENGKA Nurmalasari, Yuli; Sujadi, Harun
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 4 (2019): Inovasi Desa Menuju Era 4.0 : Merangsang Inovasi Desa Melalui Pemanfaatan Internet of
Publisher : Universitas Majalengka

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

Abstract

village administration in the sacred village of Jaya sub-district of Malausma Majalengka Regency is still running manually, that is data management is still recorded in the book not computerized. Based on the problem above, an Android-based village administration application is created by managing computerized and stored data. The methodology used is RUP (Rational Unified Process). the results of this development of this system in the form of incoming letters, outgoing letters, permission letters, and asset assets
Ai-Based Building Security System Using Vision Tracking Motion Method Mustofa, Bisri; Sujadi, Harun; Wahyuni, Tantri
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 7 (2023): STIMA 7.0 "Transformasi Peradaban Akademik Menyongsong Revolusi Industri 5.0"
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v7i0.938

Abstract

Security is something that is needed by every human being, because with security there will be an impression of comfort. Especially in a place of residence or a place to carry out economic transactions or even an agency. Artificial intelligence is a form of scientific discipline which is an artificial intelligence that functions to facilitate the process of human life technologically. Machine Learning is a machine that was developed to be able to learn by itself without direction from the user. Video tracking motion is a method that is used as a reference to capture movement in objects that change position which is translated on the process frame motion system. An application related to Artificial Intelligence (AI) which can control automatically regarding the video camera system in the form of IPCam and Analog UsbCam, with a database as a medium for storing the results of video capture images regarding process frames that exceed the limit, which functions for security in a place in the form of house or building.
Perancangan Aplikasi Resepsionis Berbasis Web Karmila, Mita; Sujadi, Harun
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 7 (2023): STIMA 7.0 "Transformasi Peradaban Akademik Menyongsong Revolusi Industri 5.0"
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v7i0.962

Abstract

The Sindang District Office is a government agency that has responsibility for data processing in the Sindang District area. To support effectiveness, efficiency and productivity in an agency in improving service quality, including providing services to the community in the Sindang District area at the reception. To overcome this problem, it is necessary to solve the problem by using a web-based application system so that it can easily find data and search for data. The method used by researchers is a waterfall which consists of several stages, namely requirements, design, implementation, verification and maintenance that have been successfully created and have succeeded in storing community data into a system. Keywords: Receptionist, Web Based, Waterfall.
SISTEM INFORMASI PENGOLAHAN DATA ABSENSI PEGAWAI KANTOR BALAI KB KECAMATAN PANYINGKIRAN BERBASIS WEB DAN ANDROID Sujadi, Harun; Kusumadewi, Intan; Budiman; Alamsyah, Firhan Medina
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 7 (2023): STIMA 7.0 "Transformasi Peradaban Akademik Menyongsong Revolusi Industri 5.0"
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v7i0.1036

Abstract

Employee absenteeism is a very important factor in a company or agency. The punctuality and integrity of employees who are assessed will help the development of the institution/institution. An attendance system that has up-to-date software is very important, because it has positive benefits for the institution or agency, especially interms of effectiveness, efficiency and speed. Along with that attendance is also not only done manually, but can help by using information technology. Attendance carried out at the Office of the KB Sub-District of Pengingkiran is still done manually, namely employees fill in attendance with signatures as well as the time of arrival and departure time. So, there are still a lot of problems when using the manual attendance system, such as not entering without information, coming and going home from the office not according to regulations, leaving the office during working hours and not knowing the leadership and there are still many problems caused. So that the KB Office of the Pengingkiran District requires an attendance application. With the application of the Employee Attendance Data Processing Information System, the Panyingkiran District Family Planning Office was able to overcome the occurrence of absenteeism violations in employees.
RANCANG BANGUN APLIKASI AUGMENTED REALITY UNTUK MENINGKATKAN POTENSI PENGALAMAN PENGUNJUNG BERBASIS ANDROID Subandi, Dipa; Sujadi, Harun
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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

Abstract

The Lembah Cisaar Museum in Sumedang, West Java, which exhibits ancient animal fossils, faces challenges in attracting visitors due to limited interactivity and less engaging presentation methods. This study aims to improve the visitor experience through the development of an Android-based Augmented Reality (AR) application. The research employs the Multimedia Development Life Cycle (MDLC) method, consisting of concept, design, material collecting, assembly, testing, and distribution, combined with usability testing. The developed application integrates 3D fossil visualizations, interactive markers, and voice-over narration using Unity, Blender, and Vuforia. Usability testing involving 40 respondents indicated that 89% of users found the application engaging, 91% reported increased interest in visiting the museum, and 92% considered the information beneficial. These findings demonstrate that AR technology can significantly enhance educational value, interactivity, and visitor engagement. The implementation of this AR application provides a modern digital solution to introduce cultural heritage, supporting the transformation of museums into accessible and technology-based educational platforms
Co-Authors Aas Nuraisah Abdullah, Fatwa Muhammad Maulid Abdurahman, Dede Abghi Firas Isdiana Abghi Firas Isdiana Ade Bastian adi oksifa rahma harti Adie Iman Nurzaman Ady Kurniawan Aji Permana Alamsyah, Firhan Medina Anis Nurul Fitria Anis Nurul Fitria Aqis Mutaqin Ardi Mardiana Ariandoyo, Dodi Arief Rijaluddin Arsyziyad, Mohammad Nushayr Ayu Sunengsih Azkiya, Muhammad Azkal Badhel, Yasser Gibran Billy Adrian Fernanda Bisri Mustofa Budiman Cecep Roni Citra Devi Nurmala Dadan Zaliluddin Dede Maulana Deffy Susanti Destiani, Putri Diana Surya Didi Jubaedi Didin Adianto Dimar Pateman Dony Susandi Endah Prihartini Engkos Koswara Fahmi Nurbani Fahrudin, Muhammad Faizah, Putri Alya Nur Firmansyah Firmansyah Firmansyah Hendriyanto Fitria, Anis Nurul Fitriani, Nadila Fitriyani, Rofi Gary Gibran Amnesty Haq, Rosdiana Harti, Adi Oksifa Rahma Hermawan, Dicky Ida Marina Ida Marina Ida Marina, Ida Ii Sopiandi, Ii Ilva Laela Sari Indra Permana, Indra Indriana, Kovertina Rakhmi Intan Kusumadewi Irfan Maulana Putra Jabbar, Fathir Abdul Jidan Fauzan Fitrian Karina Agisni Widyastuti Karmila, Mita Karnia - Khoerunissa, Salsa Koswara, Engkos Kusumadewi, Intan Latiful Abror Lazuardi, Mochamad Farziki M Syarif Abdurrohman Mardina, Ardi Martin, Kurnia Muhamad Dendi Purwanto Muhamad Dendi Purwanto Muhammad Dziya Dhiyauddin Muhammad Fahrudin Mulyana Nugraha, Faisol Nunu Nurdiana Nunu Nurdiana Nunu Nurdiana Nunu Nurdiana, Nunu Nurfajriah, Riska Nurhilda, Pebby Nurhimah, Enung Nursandi Nursandi Oo Satia Pafsi Paisal Pafsi Paisal Pangestu, Arki Aji Permana, Iip Indra Prahara, Ervin Gusti Dwi Purwanto, Muhamad Dendi Rama Muhamad Azizi Reyna Indra Maulana Reyna Indra Maulana Riepah, Ipah Rivki Anja Afrenda Riza M Yunus Riza M. Yunus Salwa, Alya Jihan Siti Masitoh Sri Andayani Sri Ayu Andayani Subandi, Dipa Sudjana, Muhammad Ridwan Shaleh Suhendri Suhendri . Tantri Wahyuni Tantri Wayuni Tarsono, Ano Tri Ferga Prasetyo Wahono, Syiffa Safiera Wahyuni, Kartika Sri Whydiantoro Wildan Rohmanudin Winda Nur Hamidah Wiranagari, Relifa G Yayat Hendrayana, Yayat Yayat Nurhidayat Yoga Herawan Yoga Yuniadi Yuli Nurmalasari Yunus, Riza M Yusup Saepul Anam Zalsahra, Rendy