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All Journal Inersia : Jurnal Teknik Sipil dan Arsitektur MEDIA KOMUNIKASI TEKNIK SIPIL REKA RACANA Harmonia: Journal of Research and Education Dinamika Informatika Jurnal Sains dan Teknologi Farmasi Jurnal Kimia dan Kemasan Teras Jurnal JURNAL MEDIA INFORMATIKA BUDIDARMA Al-Dzikra: Jurnal Studi Ilmu al-Quran dan al-Hadits Rekayasa Teknologi JSFK (Jurnal Sains Farmasi & Klinis) Jurnal Inovator PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Bina Teknika Ijtihad Building of Informatics, Technology and Science Jurnal Pengabdian Dharma Bakti JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Letters in Information Technology Education (LITE) Infotech: Journal of Technology Information Jurnal Teslink : Teknik Sipil dan Lingkungan Jurnal Budaya Etnika Widya Pranata Hukum : Jurnal Kajian dan Penelitian Hukum BISNIS & BIROKRASI: Jurnal Ilmu Administrasi dan Organisasi JURNAL ILMIAH GLOBAL EDUCATION Al-Mizan: Jurnal Hukum Islam dan Ekonomi Syariah Jurnal Teknologi Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Ilmu Komunikasi Dan Media Heca Journal of Applied Sciences SmartComp Jurnal Sistem Informasi dan Manajemen Suluah Pasaman (Journal of Environmental Sustainability Management) Singkite Journal J-Sil (Jurnal Teknik Sipil dan Lingkungan)
Erizal Erizal
Pusat Aplikasi Teknologi Isotop dan Radiasi, BATAN Jl. Lebak Bulus Raya No.49, Jakarta 12070
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Kajian Pengawasan Peredaran Obat Keras di Sumatera Barat oleh BBPOM di Padang Thantawi, Firdaus; Erizal, Erizal; Ben, Elfi Sahlan
JSFK (Jurnal Sains Farmasi & Klinis) Vol 8 No 2 (2021): J Sains Farm Klin 8(2), Agustus 2021
Publisher : Fakultas Farmasi Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jsfk.8.2.221-227.2021

Abstract

Kemajuan di bidang teknologi dan transportasi menyebabkan produk farmasi dengan cepat menyebar. Tingginya kebutuhan obat keras oleh masyarakat, murahnya harga obat di sarana tidak berwenang, masih rendahnya pengetahuan dan kesadaran masyarakat akan keamanan, kemanfaat dan mutu obat yang disediakan sarana yang berwenang mengakibatkan fenomena tingginya peredaran obat keras di sarana yang tidak berwenang. Penelitian ini bertujuan untuk mengetahui kinerja BBPOM di Padang, tingkat keberhasilan penegakan hukum dan tingkat keberhasilan peningkatan kesadaran masyarakat. Penelitian bersifat evaluatif dengan pendekatan triangulasi. Responden kuesioner sejumlah 70 orang yang berasal dari 7 kabupaten/kota di Sumatera Barat. Responden wawancara terstruktur sejumlah 10 orang yang berasal dari pejabat struktural BBPOM di Padang dan Jayapura. Sebanyak 5 jenis kuesioner divalidasi dengan nilai reliabilitas 0.8427; 0.8507; 0.7493; 0.7399 dan 0.8272. Hasil penelitian menunjukkan bahwa terjadi trend peningkatan peredaran obat keras di TOB sebesar 24%; 45% dan 49%, sedang di swalayan terjadi penurunan sebesar 17%, 17% dan 8%. Penegakan hukum di bidang obat terjadi peningkatan sebesar 33.3%; 70.0% dan penurunan 18.2%. Pemberdayaan konsumen melalui peningkatan pemahaman obat keras (92.9% dan 100.0%). Kesimpulan penelitian ini adalah kinerja BBPOM di Padang telah cukup optimal dengan strategi pengawasan rutin, pemberdayaan konsumen, penegakan hukum dan sinergitas dengan stakeholder terkait
Sosialisasi dan Pelatihan Sistem Informasi Manajemen Pemberdayaan Kesejahteraan Keluarga Terintegrasi Berbasis Kampung: Socialization and Training of Village-Based Integrated Family Welfare Empowerment Management Information Systems Zaidir, Zaidir; Sujarweni, Veronika Wiratna; Erizal, Erizal; Diqi, Muhammad
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 3 (2024): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v9i3.5926

Abstract

Empowering family well-being in rural communities is a crucial goal in sustainable development. One emerging innovation is the Village-Based Integrated Family Welfare Information System (VBIFWIS). This study delves into the effectiveness of the socialization and training of VBIFWIS in addressing the challenges of family empowerment in rural areas. The findings indicate that adequate socialization and targeted training can enhance the community's understanding of the benefits of VBIFWIS, improve access to services, and empower individuals in system utilization. However, initial challenges such as technology resistance and the learning curve necessitate a sustained approach. These findings provide valuable insights into how VBIFWIS can effectively empower family well-being in rural environments, emphasizing the significance of community participation, efficient data management, and addressing technological challenges.
Pelatihan Sistem Informasi E-Commerce untuk Optimalisasi Proses Konsumen, Produksi, dan Pemasaran bagi Pelaku UMKM pada Sentra Industri Ayam Goreng Maju Makmur Kalasan Yogyakarta: E-Commerce Information System Training to Enhance Consumer, Production and Marketing Processes for MSMEs at the Maju Makmur Fried Chicken Industrial Center Kalasan Yogyakarta Zaidir, Zaidir; Sujarweni, Veronika Wiratna; Erizal, Erizal
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 11 (2024): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v9i11.7960

Abstract

The e-commerce information system training program implemented at the Maju Makmur Kalasan Yogyakarta Fried Chicken Industry Center aims to improve the skills of MSMEs in consumer management, production, and marketing through technology. The evaluation of the effectiveness of the program showed a significant increase in the knowledge and skills of participants, which was reflected in better stock management, production efficiency, and marketing strategies. Compared to the previous approach that was less measurable, this evaluation used a more comprehensive method and showed stronger and more sustainable results. The results of this PkM activity can improve the skills and efficiency of MSMEs at the Maju Makmur Fried Chicken Industry Center. The training activity was not only successful in the short term, namely improving the technical skills of participants, but also long-term benefits by using a custom-made e-commerce information system so that it can encourage the growth and competitiveness of MSMEs.
Perbandingan Algoritma Naïve Bayes dengan K-Nearest Neighbor Untuk Analisis Sentimen Aplikasi InDrive di Playstore Irfan, Muhammad; Erizal, Erizal
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7780

Abstract

Transportation is already part of the main needs in moving from one place to another. One of them is land transportation which is the most widely used in daily needs. There are various technology companies that are competing to create online-based transportation, one of which is inDrive. Of the several online transportation services, inDrive has a different system that can negotiate or bargain for transportation rates directly. it is interesting to do an analysis to find out whether the system is worth maintaining or it will get constructive criticism so that in the future it can improve the quality of the inDrive application. Review or comment data taken from google play through google colab as much as 1200 data and processed using RapidMiner. Testing is carried out in two stages, namely training data and testing data, training data that is greater than testing data will affect the accuracy of a method. The purpose of this research is to see various positive and negative reviews in the inDrive application and make a comparison between the Naïve Bayes method and K-Nearest Neighbor with the results of 97.50% accuracy, 92.71% precision and 100% recall for Naïve Bayes. While accuracy 83.21%, precision 85% and recall 57.30% for KNN, from these results it can be concluded that the Naïve Bayes method has superior accuracy in making classifications.
Analisis Sentimen Terhadap Ulasan Aplikasi Disney+ Hotstar Pada Google Playstore Menggunakan Metode Naïve Bayes Arsad, Reza Al; Erizal, Erizal
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6641

Abstract

Technology in Indonesia has advanced rapidly, making many changes in all aspects of life, one of which is the online streaming aspect, namely the Disney+ Hotstar application. Now Disney+ Hotstar is available on tablets, smart TVs, computers, and smartphones accessed from various places and times. Disney+ Hotstar has thousands of hours of various Pixar, Marvel films, as well as exclusive Indonesian and various countries' series. Although Disney+ Hotstar has a variety of interesting films and features, it does not guarantee that users are satisfied using the application. Because users have different opinions and assessments, this point can be seen from user reviews available on the Google Playstore. The main purpose of this study was to determine the assessment or sentiment of user reviews of the Disney+ Hotstar application by analyzing it. The technique used uses the Naive Bayes algorithm. A total of 1000 review data were obtained on December 28, 2024 from the Google Playstore via Google Colab, then processed using RapidMiner. The dataset went through the cleaning and preprocessing stages to become 873 review data. There were 128 good reviews and 745 bad reviews. TF-IDF weighting was performed before classification using 873 datasets. The classification stage used a cross-validation system and applied the Naive Bayes approach. Testing from this study revealed the accuracy results of the Naive Bayes algorithm of 76.06%, precision of 34.12%, and recall of 67.97%.
Perbandingan Metode Naïve Bayes Dengan SVM Pada Analisis Sentimen Aplikasi Pemesanan Tiket Kapal Ferizy Sulhan, Muhammad; Erizal, Erizal
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6715

Abstract

In the digital era, user reviews on application platforms play a crucial role in evaluating service quality and customer satisfaction. This study aims to compare two sentiment analysis methods, namely Naive Bayes and Support Vector Machine (SVM), in classifying the sentiment of Ferizy app reviews on PlayStore into positive, negative, and neutral categories. Naive Bayes, known for its simplicity, efficiency on small datasets, and fast training, is compared to SVM, which is recognized for its high performance on complex data with non-linear distributions and its flexibility in kernel usage. This study also evaluates the performance of both methods based on accuracy, precision, recall, and F1-score metrics, particularly in handling class imbalance and noise in the data. The dataset consists of user reviews of the Ferizy application, which are analyzed to identify sentiment patterns and trends. The implementation results show that Naive Bayes achieves an accuracy of 79.27%, while SVM reaches an accuracy of 82.62%. This difference indicates that SVM is superior in handling more complex patterns in review data, although the margin is relatively small. The findings also reveal significant differences between the two methods, particularly in sentiment classification accuracy. Factors such as language complexity, class imbalance, and algorithm parameter selection are found to influence the performance of each method. This study provides valuable insights for application developers to improve service quality based on user sentiment analysis. Additionally, the results are expected to contribute to the development of more advanced and targeted sentiment analysis strategies, particularly in the digital transportation domain.Keyword: Analisis Sentimen; Naïve Bayes; Support Vector Machine; Ferizy; Ulasan
Analisis Sentimen Ulasan Aplikasi BPOM Mobile Pada Play Store Menggunakan Metode Naïve Bayes Al Ayyubi, Reza; Erizal, Erizal
Journal of Information System Research (JOSH) Vol 6 No 3 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i3.7101

Abstract

Innovation in drug and food supervision is just one of many public service sectors boosted by the meteoric rise of Mobile applications, which is in turn driven by the public's demand for quick and efficient solutions and the pervasiveness of smartphones. In light of this need, the Republic of Indonesia's Food and Drug Supervisory Agency (BPOM) has released the BPOM Mobile app to facilitate public participation in the monitoring of food and drug products in circulation and to make information more easily accessible. Registered product information, breaking news, and the ability to submit complaints are all intended uses for this app. This research looked at the tone of BPOM Mobile reviews and discovered that most people were unhappy with the app, suggesting that it fell short of their expectations. This study utilized the Naive Bayes method in conjunction with the SMOTE Upsampling technique to assess sentiment. The accuracy, precision, and recall for the classification were 83.98%, 77.18%, and 96.49%, respectively. The results show that the Naive Bayes model with SMOTE does a good job of analyzing the sentiment of BPOM Mobile user reviews, and it also highlights the fact that the government needs to improve its application services. This study contributes in several aspects. First, this study presents a machine learning-based analysis to assess user satisfaction with public service applications. Second, the results of this study can be input for BPOM to improve the functionality and user experience in using the BPOM Mobile application.
Peran Umpan Balik Guru Dan Mahasiswa Dalam Meningkatkan Motivasi Pembelajaran Bahasa Arab Burhanuddin, Burhanuddin; Rifqi Amrullah, Muhammad; Erizal, Erizal
Jurnal Ilmu Komunikasi Dan Media Sosial (JKOMDIS) Vol. 4 No. 3 (2024): September - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jkomdis.v4i3.2474

Abstract

Setiap siswa pasti memiliki kendala dalam pelajaran yang tengah mereka hadapi. Terlebih lagi pelajaran itu termasuk dalam pelajaran yang asing atau tidak mereka temui dalam kehidupan sehari-hari. Salah satu contohnya yaitu pembelajaran bahasa Arab. Pelajaran ini merupakan pelajaran yang sulit untuk dipahami oleh sebagian orang akan tetapi salah satu aspek pelajaran yang penting untuk dipelajari di Indonesia karena mayoritas masyarakan Indonesia beragama muslim. Seperti yang kita ketahui bahwa Al-Qur’an menggunakan bahasa Arab. Oleh karena itu peneliti merasa penelitian ini penting untuk dilakukan. Adapun tujuan dilakukannnya penelitian ini yaitu untuk mengetahui peran umpan balik (feedback) guru dan mahasiswa dalam meningkatkan motivasi pembelajaran bahasa Arab. Metode penelitian yang digunakan dalam penelitian ini adalah metode kualitatif dengan jenis penelitian studi pustaka. Hasil temuan yang peneliti temukan yakni berupa defensi, manfaat, jenis, fungsi, kelebihan dan kekurangan umpan balik. Setelah melakukan analisis dengan temuan penelitian dapat peneliti simpulkan bahwa umpan balik guru dan mahasiswa berperan penting dalam meningkatkan motivasi pembelajaran bahasa Arab.
Effectiveness of Concrete Crack Repair Using Bacillus subtilis and Calcium Lactate Rahmawan, Rama Zaky; Erizal, Erizal; Putra, Heriansyah; Oktafiani, Pradyta Galuh; Sutoyo, Sutoyo
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 21 No. 1 (2025): May
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v21i1.71313

Abstract

Cracks facilitate aggressive substances entering the steel easily and cause corrosion of the reinforcement. There are several innovative methods for dealing with cracks in concrete, one of which is using bacteria. The purpose of using bacteria and CaL is to find out the role and effectiveness of repairing cracks in concrete. In outline, several methods and tests are carried out, including bacterial culture, test tube, concrete sample making, concrete curing, compressive strength testing, permeability testing, absorption testing, image processing testing, and microscopic testing. The test tube results showed that the highest mass of calcite was found in a solution of 2 ml of bacteria and CaL with a concentration of 65.4 g/L. The cracks appeared closed visually at 28 days of age. Through imageJ software, the crack repair rate in concrete reaches 95.94%. The effect of adding B. subtilis and CaL was proven to be able to close concrete cracks and increase the compressive strength of cracked concrete by 13.16%, reduce permeability by 53.12%, and absorption by 22.20%. This was confirmed by SEM testing and VHX-7000 observations which showed the presence of calcite crystals in the concrete pores and filled the concrete crack areas. This study elucidated that using bacillus subtilis bacteria and calcium Lactate in self-healing concrete is an effective technique to repair the concrete crack.
Analisis Kinerja Pegawai Camat dengan Memperhatikan Faktor Lingkungan, Budaya Kerja dan Reward (Studi pada Kantor Camat Kuala Kabupaten Bireuen) Erizal, Erizal; Kamaruddin, Kamaruddin
Singkite Journal Vol 3 No 3 (2024): Singkite Journal, December 2024
Publisher : Aceh Cooperative Care

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63855/skt.v3i3.52

Abstract

Analysis of employee performance, a necessity that continues to be evaluated, includes factors that influence it, such as the work environment, work culture and the existence of reward programs. This is the focus of this research. Using associative methods with a quantitative approach. The sample in this study was all employees of the Kuala District Office, Bireuen Regency, totaling 42 people. Data collection techniques through questionnaires and causal analysis between variables using path analysis models. As a result, it is known that (1) between the exogenous variables, namely work environment, work culture and rewards, there is a significant causal relationship, (2) so that the direct and indirect influence of each work environment, work culture and rewards factors on employee performance is 43.81 %, 33.83% and 51.03%. (3) The simultaneous contribution of the three factors to changes in employee performance levels was 54.3%.
Co-Authors A.A. Ketut Agung Cahyawan W Ade Davy Wiranata Al Ayyubi, Reza Al Azkiah, Dina Sakinah Alfaridzi, Eko Alminson, Pego Ananda, Fauzan Raflinur Andini, Andini Angga Prayoga Arrafi, Naufal Rifqi Arsad, Reza Al Aulia Shilvi Auzal Halim Azizah, Khusnita Basril A. Basril Abbas Basuki, Umar Ben, Elfi Sahlan Bimantoro, Prabu Budiarto, Djoko Burhan Djamaluddin Burhanuddin Burhanuddin Danita, Regita Alma Deswita Deswita Diqi, Muhammad Dwi, Gebi Sintia Emil Budianto Fauzan Azima Firdaus, Dwiandra Firman Noor Hasan Halim Zaini, Halim Hamimuddin, Moch Hendri, Yon Hikmah, Fitri Nur IBNUL QAYIM Ibrahim Ibrahim Irwan Irwan Julianto, Baskoro Tri Kamaruddin Kamaruddin Khairuddin - Khairun Nisa Khoirunnisa, Hana Kristian, Tadem Vergi Lamuse, Maulina Listiawan, Indra Maklas, Fikali Marselina Endah Hiswati Mentari, Sekar Metriadi Metriadi Mohammad Diqi Mudatsir Mudatsir Muhammad Fairuzabadi Muhammad fauzan Muhammad Hanafiah Muhammad Irfan Muhammad Sulhan Nadhya Susilo Nugroho Oktafiani, Pradyta Galuh Purwo Mahardi Putra, Heriansyah Rahmawan, Rama Zaky Ramadhanis, Zainab Rezza Anugrah Mutiarawan Rifqi Amrullah, Muhammad Rozak, Bahrul Satriyadi, Satriyadi Satyanto Krido Saptomo Selvi Kasman Seminar, Kudong Boro Sitorus, Mido Ester Sujarweni, V Wiratna Sujarweni, Veronika Wiratna Sultono, Sultono Sutoyo Sutoyo Suwarto Suwarto Teuku Zahrial Helmi Thamrin W., Thamrin Thantawi, Firdaus Tonadi, Een Tri Sudibyo Umam, Faqih Nadiya Utami, Anisa Dwi Virgiawan, Iwan Wahyudi, Ninda Zahra Wildan, Marie Muhammad Wilma Sriwulan Yulianto, Adhithya Yudo Yunus Yakub Zaidir