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All Journal Jurnal Floratek Media Penelitian dan Pengembangan Kesehatan Creative Information Technology Journal Jurnal Manajemen & Keuangan Jurnal Mitra Pendidikan Jurnal DISPROTEK Cakrawala : Jurnal Kajian Manajemen Pendidikan Islam dan Studi Sosial Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Vocatech : Vocational Education and Technology Journal IT (INFORMATIC TECHNIQUE) JOURNAL Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal TILAPIA INFOSYS (INFORMATION SYSTEM) JOURNAL Jurnal Ilmiah Teknik Informatika (TEKINFO) Jurnal Pengabdian Masyarakat Sains dan Teknologi Jurnal Penelitian Sistem Informasi Jurnal Ilmiah Mahasiswa Pertanian Lentera International Journal Of Public Health Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Green Engineering: Journal of Engineering and Applied Science Jurnal Kendali Teknik dan Sains Jurnal Esensi Infokom : Jurnal Esensi Sistem Komputer dan Informasi
Safrizal Safrizal
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Sistem Pendukung Keputusan Pemilihan Susu Formula pada Balita Menggunakan Metode Simple Additive Weighting (SAW) Dwi Fitri Rahayu; Elisa Br Sembiring; Harninda Br Keliat; Safrizal Safrizal
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 3 No. 1 (2025): JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v3i1.2991

Abstract

Formula milk is packed with essential nutrients. It contains beneficial components such as carbohydrates, proteins, fats, vitamins, sodium, DHA, and more. High-quality formula milk should not lead to gastrointestinal issues such as diarrhea, vomiting, or problems with digestion, nor should it cause coughing, breathing difficulties, or skin reactions due to an incorrect formula choice. This research aims to explore how mothers select suitable formula milk for their babies. The study utilizes the SIMPLE ADDITIVE WEIGHTING (SAW) method to determine alternative options based on pre-assigned weights and criteria. Following this, the ranking method is applied to identify the best alternative. According to the findings, five alternatives were evaluated: MORINAGA CHIL KID, LACTOGEN, SGM, BEBELOVE, and NUTRIBABY ROYAL 1. Additionally, five criteria were considered: Milk Price, Safety (Bpom Certification, Halal, etc.), Nutritional Content (Protein, Calcium, Iron, Vitamins, etc.), Taste (Natural Sweetness, Vanilla, Honey), and Market Availability.
The Relationship Of Knowledge, Attitudes And Actions With Medication Adherence In Pulmonary Tuberculosis Patients At The Pulmonary Polyclinic Of Subulussalam City Hospital Nursa'adah Cibro; Safrizal Safrizal; Eva Flourentina Kusumawardani; Maiza Duana; Lili Eky Nursia N
International Journal of Public Health Vol. 1 No. 2 (2024): June : International Journal of Public Health
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijph.v1i2.19

Abstract

Tuberculosis (TB) was still a global challenge in the world of health and required special attention to increase the level of patient compliance with treatment. This study aimed to explore the relationship between patient knowledge, attitudes, and actions and the level of adherence to taking medication in TB patients at the Pulmonary Polyclinic of Subulussalam City Hospital. The study used an observational analytical design with a cross-sectional approach. The research population involved all TB patients undergoing treatment at Subulussalam City Hospital, with a sample of 76 respondents selected through accidental sampling. Data were collected through interviews using the MMAS-8 questionnaire, and data analysis was carried out using the chi-square test. The majority of respondents showed a high level of knowledge (47.37%), poor attitudes (59.21%), and good actions (64.47%), but the level of compliance was low (46.05%). Statistical analysis showed that there was a significant relationship between knowledge (p=0.000), attitudes (p=0.014), and actions (p=0.010) with the level of adherence to taking medication. The knowledge, attitudes, and actions of TB patients at the Lung Polyclinic of Subulussalam City Hospital had a significant effect on their level of compliance in taking medication. Efforts were needed to increase patient understanding and special approaches to increase compliance to support the success of TB therapy.
The Effect of Service Quality on Student Satisfaction and Student Loyalty at Madrasah Aliah Negeri Pekanbaru Hidayat, Rahmadani; Nusyirwan Nusyirwan; Safrizal Safrizal
Dinasti International Journal of Economics, Finance & Accounting Vol. 4 No. 2 (2023): Dinasti International Journal of Economics, Finance & Accounting (May - June 20
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v4i2.1853

Abstract

The research team at Madrasah Aliyah Negeri in Pekanbaru set out to examine the connection between the quality of service provided to students and their level of satisfaction and loyalty to the institution. Three hundred and twelve students from two Pekanbaru public Madrasah Aliyah schools participated in the study. Student satisfaction and loyalty are treated as endogenous variables in this study, while service quality is used as an exogenous variable. Amos 24, Microsoft Excel 2013, and Structural Equation Modeling (SEM) were used for data analysis. The findings indicated that the quality of services provided contributed to happy students. Both service quality and customer satisfaction have a positive impact on retention rates among students.
Design of an Autonomous Solar Powered Smart Aquaculture Monitoring System for Energy Efficiency and Environmental Impact Reduction Lukman Medriavin Silalahi; Safrizal Safrizal; Erick Fernando; Hayadi Hamuda; Ribut Julianto; Yuanita Sinatrya
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 2 (2025): April : Green Engineering: International Journal of Engineering and Applied Sci
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i2.286

Abstract

Aquaculture is a vital sector in global food production, providing essential protein sources. However, the industry faces significant challenges, including high energy consumption and environmental impact. The integration of renewable energy, particularly solar power, with automation and IoT systems offers a promising solution to enhance energy efficiency, sustainability, and productivity in aquaculture operations. This study aims to evaluate the effectiveness of solar powered autonomous systems in reducing energy usage, improving operational efficiency, and promoting environmental sustainability in aquaculture. Literature Review: Recent research has explored various technologies, such as Digital Twins (DTs) and Precision Fish Farming (PFF), which integrate IoT sensors for real time monitoring and optimization of fish farming operations. The combination of Artificial Intelligence (AI) and the Internet of Things (IoT), known as AIoT, has further advanced the industry by enabling automated decision making and predictive analytics. Solar power integration with IoT systems has been shown to significantly reduce operational costs, minimize carbon emissions, and enhance the sustainability of aquaculture practices. These advancements have the potential to address the challenges of energy consumption and environmental degradation in the industry. Materials and Method: This research utilizes a hybrid solar powered IoT system for aquaculture, integrating solar panels, IoT sensors, and automated control systems. The system monitors key water quality parameters, such as pH, dissolved oxygen, turbidity, and temperature, to maintain optimal conditions for aquatic life. Data is collected through IoT sensors and analyzed through a cloud-based platform. A pilot study is conducted on a small scale aquaculture farm to evaluate the system's performance, including energy consumption, water quality management, and fish health. Energy savings, operational efficiency, and environmental impact are assessed. Results and Discussion: The integration of solar powered IoT systems significantly reduced energy consumption compared to traditional systems, with a notable decrease in grid electricity reliance. The system successfully maintained optimal water quality conditions, enhancing fish health and growth. Solar powered systems proved reliable, even in regions with variable sunlight, and demonstrated improvements in operational efficiency through automation. The environmental benefits were evident, with a reduction in carbon emissions and lower operational costs. The study highlights the feasibility of solar powered IoT systems as a sustainable solution for modern aquaculture operations.
Analisis Sentimen Ulasan Aplikasi Gojek Menggunakan Metode Random Forest dan K-Means Clustering Nabeel Fazle Mawla Buntaran; Safrizal Safrizal
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3792

Abstract

This study aims to examine user opinion tendencies toward Gojek services by integrating Random Forest and K-Means Clustering approaches. The dataset consists of 15,000 user reviews collected throughout 2025 using web scraping techniques. The initial stage focuses on data preprocessing, including text cleaning, case normalization, tokenization, removal of non-informative stop words, and lemmatization to restore words to their base forms. Subsequently, sentiment labels are assigned using a lexicon-based approach. The next phase involves classification modeling through Random Forest to identify sentiment tendencies, while K-Means Clustering is employed to uncover latent patterns within the opinion data. The findings indicate that the Random Forest model achieves an accuracy level of 0.878, demonstrating strong performance in distinguishing positive and negative sentiments, as reflected by f1-scores of 0.932 and 0.818, respectively. However, the model shows limitations in consistently identifying neutral sentiment. In contrast, the implementation of K-Means Clustering successfully categorizes the data into three primary clusters, providing a more structured representation of user opinion characteristics. Overall, these results offer empirical insights that can serve as a strategic reference for enhancing the quality of Gojek’s service delivery.
The Effect of Service Quality on Student Satisfaction and Student Loyalty at Madrasah Aliah Negeri Pekanbaru Hidayat, Rahmadani; Nusyirwan Nusyirwan; Safrizal Safrizal
Dinasti International Journal of Economics, Finance & Accounting Vol. 4 No. 2 (2023): Dinasti International Journal of Economics, Finance & Accounting (May - June 20
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v4i2.1853

Abstract

The research team at Madrasah Aliyah Negeri in Pekanbaru set out to examine the connection between the quality of service provided to students and their level of satisfaction and loyalty to the institution. Three hundred and twelve students from two Pekanbaru public Madrasah Aliyah schools participated in the study. Student satisfaction and loyalty are treated as endogenous variables in this study, while service quality is used as an exogenous variable. Amos 24, Microsoft Excel 2013, and Structural Equation Modeling (SEM) were used for data analysis. The findings indicated that the quality of services provided contributed to happy students. Both service quality and customer satisfaction have a positive impact on retention rates among students.
Analisis Sistem Temu Balik Sertifikat Pendidik Menggunakan Metode Cosine Similarity Rangga Wahyu Dealova; Deo Pradana; Ali Akbar Ramadhan; Safrizal Safrizal
Jurnal Kendali Teknik dan Sains Vol. 4 No. 1 (2026): Januari: Jurnal Kendali Teknik dan Sains
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v4i1.5877

Abstract

Educator certificates are official documents that play a crucial role for teachers, as they serve as legal proof of professional competence and are required for various administrative purposes, such as professional allowance applications, promotion, transfer, and institutional accreditation. Along with the increasing number of educators in Indonesia, the volume of educator certificate data managed by educational institutions has also grown significantly. However, certificate management is still largely conducted in a conventional manner, functioning merely as digital or physical archives without an effective search mechanism, resulting in inefficiencies and difficulties in retrieving relevant documents. Therefore, an information retrieval approach is needed to support fast and accurate document searching. This study aims to analyze and implement an information retrieval system for educator certificates using the Cosine Similarity method. The research data consist of educator certificate documents, including professional educator certificates, training certificates, and competency certificates. The retrieval process involves text preprocessing, term weighting using TF-IDF, and similarity measurement using Cosine Similarity. The results show that document d1 (Professional Mathematics Educator Certificate) has the highest similarity value to the query “educator certificate,” as it contains all query terms with relatively high TF-IDF weights. Document d3 ranks second due to partial term similarity, while document d2 has the lowest similarity value because it shares only one common term with the query. These findings indicate that the Cosine Similarity method is effective in ranking educator certificate documents based on their content relevance in an objective and measurable manner. The proposed system can improve the efficiency and accuracy of educator certificate document management and retrieval in educational institutions.
Educational Program on Converting Plastic Waste into Alternative Fuel Using Pyrolysis and Triboelectric Nanogenerators (TENG) for Community Leaders in Kasomalang Kulon Tourism Village, Subang Regency Hayadi Hamuda; Lukman Medriavin Silalahi; Safrizal Safrizal; Cahyono Budy Santoso; Yunus Widjaja; Chaerul Anwar; Teddy Mohamad Darajat; Listiana Satiawati; Sumihar M.L. Tobing; Aditiameri Aditiameri
Jurnal Pengabdian Masyarakat Sains dan Teknologi Vol. 5 No. 2 (2026): Juni: Jurnal Pengabdian Masyarakat Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/jpmsaintek.v5i2.1066

Abstract

This Community Service (CS) initiative was executed collaboratively by faculty members from five universities—Universitas Pamulang, Universitas Presiden, Universitas Trisakti, Universitas Pembangunan Jaya, and Universitas Borobudur—in Kasomalang Kulon Tourism Village, Subang Regency, West Java, on April 17, 2026. This initiative aimed to instruct village leaders, as prospective catalysts for change in waste management and renewable energy, on the technique for converting plastic trash into pyrolysis-derived alternative fuel and the Triboelectric Nanogenerator (TENG) energy harvesting technology. This activity addresses the critical issues of plastic waste pollution and the exhaustion of fossil fuel reserves. Annually, almost 8 million tonnes of plastic waste infiltrate the oceans, yet merely 9% of all plastic ever manufactured is effectively recycled. The collaborative effort encompassed Electrical Engineering, Computer Systems, Petroleum Engineering, Information Systems, Product Design, and Agrotechnology. The instructional techniques employed comprised lectures and conversations. The activity's results indicated that participants acquired a thorough comprehension of pyrolysis mechanisms, the principles of TENG energy conversion, and its possible applications at the village level. Despite the absence of direct implementation, the cadres shown significant motivation to facilitate technology adoption inside their communities. This PKM model demonstrates that interdisciplinary collaboration across universities is effective in providing innovative technological education to rural populations.
Analisa Perkembangan Digital Forensik Dalam Penyidikan Cybercrime Di Indonesia Secara Systematic Review Nurul Aisyah; Arman Syah Putra; Safrizal Safrizal; V.H Valentino; Budhi Sriyono Prasetyo; Daru Susanti; Nurhayati Nurhayati; Zikriah Zikriah
Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi dan Sistem Komputer Vol 6 No 1 (2022)
Publisher : Institut Bisnis Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55886/infokom.v6i1.452

Abstract

Latar belakang penelitian kali ini adalah dengan bagaimana menganalisa sebuah perkembangan digital forensik dalam pendidikan di Indonesia dengan adanya penyelidikan secara sektor maka semua yang berhubungan tentang digital data akan diambil dan ditarik sebagai barang yang akan dikembangkan di kemudian hari. Masalah yang diangkat pada penelitian kali ini adalah bagaimana menerapkan perkembangan digital dalam sebuah ilmu forensik yang menyanyikan sebuah cybercrime akan terpecahkan melalui sistem forensik data. metode yang digunakan pada penelitian ini adalah dengan melakukan penimbangan terhadap data yang akan diambil sebagai dasar pengembangan dari kasus-kasus cybercrime. Tujuan dari penelitian ini adalah bagaimana menganalisa sebuah data yang bisa dijadikan sebuah dasar ilmu forensik sehingga dapat membantu kasus cybercrime dalam memecahkan suatu masalah.
Analisis Penyadapan pada Aplikasi WhatsApp Menggunakan Sinkronisasi Data Safrizal Safrizal; Dian Gustina; Nurul Aisyah; Arman Syah Putra; V.H Valentino; Budhi Sriyono Prasetyo
Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi dan Sistem Komputer Vol 6 No 1 (2022)
Publisher : Institut Bisnis Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55886/infokom.v6i1.453

Abstract

Latar belakang penelitian kali ini adalah dengan menggunakan analisa penyadapan pada aplikasi WhatsApp dengan adanya analisa ini maka dapat diketahui celah-celah yang dapat dimasuki oleh kejahatan yang ingin menyadap aplikasi WhatsApp. Metode yang digunakan pada penelitian kali ini adalah dengan menggunakan metode literatur review dengan menggunakan bacaan pada jurnal-jurnal sebelumnya, sehingga dapat diketahui celah dan kekurangan dari jurnal sebelumnya sehingga dapat dilengkapi pada jurnal yang ada pada penelitian ini. Masalah yang diangkat pada penelitian kali ini adalah bagaimana menganalisa celah-celah dari penyadapan aplikasi WhatsApp, sehingga dapat diketahui apa saja yang diperlukan jika ingin mencegah kejahatan tersebut. Tujuan penelitian ini adalah bagaimana mencegah dari penyadapan WhatsApp yang dilakukan oleh orang yang tidak bertanggung jawab sehingga pada penelitian ini dapat diketahui setelah celah apa saja dan apa saja yang harus dilakukan jika ingin mencegah hal tersebut.
Co-Authors Aditiameri Aditiameri Agoes Dariyo Aisah Amini Ali Akbar Ramadhan Amirullah Wahid Arista Widya Ningsih Arman Syah Putra Budhi Sriyono Prasetyo Cahyono Budy Santoso Chaerul Anwar Chaliluddin Chaliluddin Cinta Apriliza Daru Susanti David Dermawan Deni Adhar Deo Pradana Dian Gustina Dita Mawarni Dwi Fitri Rahayu Eka Ade Putri Elisa Br Sembiring Erick Fernando Eva Flourentina Kusumawardani Faisal Syahputra Febly Fauziah Hafifah Hafifah Harninda Br Keliat Hayadi Hamuda Herdi Susanto Herdina Putri Ahmadi Hidayat, Rahmadani Indah Permata Sari Juli Iriani Lili Eky Nursia N Lili Tanti Listiana Satiawati Lukman Medriavin Silalahi Maiza Duana Muhammad Dhafir Muhammad Idkham Muhammad Rayhansyah Nabeel Fazle Mawla Buntaran Nazimah Nazimah Nilahayati Nur Ramahacky Nurhayati Nurhayati Nursa'adah Cibro Nurul Aisyah Nusyirwan Nusyirwan Panji Kresna Dhamarsa Rahmat Fadhil Rahmiyati Rahmiyati Randa Ersada Rangga Wahyu Dealova Ribut Julianto Sherly Rohana Silvia Amara Sumihar M.L. Tobing Suyanto Suyanto Syamsul Bahri Teddy Mohamad Darajat Ujang Nurjaman Ulfiah Ulfiah V H Valentino V.H Valentino Yuanita Sinatrya Yunus Widjaja Yuslina wulandari Heppy Zikriah Zikriah