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Saefullah, Rifki

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Author-ID : 1913438

Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Analisis Kepuasan Peserta Didik dalam Pembelajaran Jarak Jauh di Masa Pandemi Covid–19 Ilmadi; Sastro, Gerry; Saefullah, Rifki; Nirmala Sari, Deka; Wijaya, Deni
Jurnal Sains Indonesia Vol 2 No 2 (2021): Volume 2, Nomor 2, 2021 (Juli)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v2i2.58

Mater Dei School provides education from an early age to high school, currently Mater Dei school is in great demand by students because of its superior achievements, especially in the academic field. At the junior high school level, Mater dei has a total of 496 students. This study aims to determine, namely: 1) How is the level of student satisfaction with the quality of services provided by SMP Mater Dei Pamulang, South Tangerang City, 2) What factors need to be improved by SMP Mater Dei Pamulang, South Tangerang City in order to improve service quality, 3) Knowing how the proposed improvements are prioritized for improving the quality of services at SMP Mater Dei Pamulang, South Tangerang City. The study took data of 100 respondents, then performed serqual calculations to determine the value of GAP, the results of the GAP were used as input data for Importance Performance Analysis (IPA) which then identified 6 attributes that must be considered and need to be considered by management to improve service quality. The next step is to calculate the Costomer Satisfaction Index (CSI). From the results of the analysis, the value was 79.125%. This means that the level of student satisfaction with SMP Mater Dei services is in the Satisfied category. Furthermore, the 6 attributes in question need to be recommended to managers to improve their services so that the service satisfaction value becomes 100%.

Injury Prevention Strategy Training in Esports Players: A Holistic Approach to Physical and Mental Health Saefullah, Rifki; Yohandoko, Setyo Luthfi Okta; Lianingsih, Nestia
International Journal of Ethno-Sciences and Education Research Vol 4, No 3 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v4i3.711

Esports has grown into a global industry that attracts the attention of millions of players around the world. However, the popularity and intensity of the game has brought a risk of injury to esports players, especially related to physical problems such as hand joint injuries and poor posture. This article describes various injuries that often occur in esports players, including injuries to hand joints, posture disorders, eye disorders, sleep disorders, and mental health. We also explain the factors that can cause this injury, such as repetitive movements, high pressure, unergonomic positions, lack of rest, joint stiffness and psychological stress. Next, we present comprehensive solutions to prevent injuries in esports players, including physical exercise, stretching exercises, use of ergonomic equipment, attention to body posture, playing time management, and mental health care. Emphasis is placed on a holistic approach that includes both physical and mental health.

Application of Fish Waste Processing for Sustainable Livestock Feed Production A Community Engagement Study in Garut Regency Azahra, Astrid Sulistya; Saputra, Jumadil; Saefullah, Rifki
International Journal of Research in Community Services Vol 5, No 4 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i4.714

This community engagement study aimed to develop an application for processing fish waste into animal feed based in an incubator system in Garut Regency. The program was conducted from May to November 2023 with the primary objective of transferring technology in waste processing and animal feed production to partner groups. Methods included socialization, technical and non-technical training, and direct mentoring in animal feed pellet production. Results showed a significant improvement in the knowledge and skills of the groups in producing fish waste pellets, reducing feed production costs, and enhancing the sustainability of local livestock businesses. Challenges encountered included initial production limitations and consumer trust in new products. With in-depth scientific approaches and sustained support, the program successfully created positive impacts on the environment and community economic welfare.

Sentiment Analysis of Maxim App User Reviews in Indonesia Using Machine Learning Model Performance Comparison Saefullah, Rifki; Yohandoko, Setyo Luthfi Okta; Prabowo, Agung
International Journal of Quantitative Research and Modeling Vol 5, No 3 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i3.762

User reviews can vary widely in language and writing style, which can make accurate sentiment modeling difficult. Selecting the right machine learning model and comparing performance between models can be challenging, given that each model has its own strengths and weaknesses. The method used involved data collection by scraping 5000 reviews from the Google Play Store, followed by data pre-processing including data cleaning, tokenization, stemming, and feature engineering using TF-IDF. The data was divided into training (70%) and testing (30%) sets, with the SMOTE oversampling technique applied to address class imbalance. Three machine learning models were used: Random Forest, Support Vector Machine (SVM), and Naive Bayes. The results showed that the majority of reviews were positive, with a high average app rating. Word cloud analysis revealed that “service”, “driver”, “price”, and “time” were the most frequently discussed aspects in the reviews. In terms of model performance, SVM performed the best with an accuracy of 91.3%, followed by Random Forest (89%) and Naive Bayes (78%). Maxim was generally well received by users in Indonesia, with the majority of reviews being positive. The SVM model proved to be the most effective in classifying review sentiment, outperforming other models in accuracy and precision.

Determining the Pure Premium at Jasa Raharja Insurance Company Purwakarta Branch using Fast Fourir Transform (FFT) through Estimated Aggregate Loss Distribution Saefullah, Rifki; Ibrahim, Riza Andrian
International Journal of Quantitative Research and Modeling Vol 5, No 4 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i4.815

Insurance is a contractual agreement between two parties, namely the insured party (customer) and the insurer (insurance company), in which the insured party pays a premium to the insurer, then in return, the insurer will provide compensation (claim) to the insured party if an insured event occurs. Each customer is required to pay a premium as an obligation stated in the insurance agreement by paying a premium, the customer fulfills his obligations and is entitled to the benefits stated in the policy. Therefore, the Insurance Company needs to carry out a scheme in the process of paying pure premiums for the sustainability of the insurance company. When determining the premium, it is done by estimating the aggregate loss distribution. This research will calculate thepure premium at the Purwakarta Branch of Jasa Raharja Insurance Company. The model used in this study is the distribution of aggregate loss with a compound distribution of claim frequency and claim size. Many claims follow the Poisson distribution and large claims follow the Lognormal distribution. In the process of estimating the probability of aggregate loss with the compound distribution model, the Inverse method with the Fast Fourier Transform (FFT) algorithm is used. This research will provide understanding and insight to insurance companies in determining the amount of premium that must be charged to customers.

Game Theory as a Marketing Optimization Tool: A Case Study on Kelom Geulis Azahra, Astrid Sulistya; Saefullah, Rifki; Wahid, Alim Jaizul
International Journal of Global Operations Research Vol. 5 No. 4 (2024): International Journal of Global Operations Research (IJGOR), November 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i4.340

Competition in the market for traditional art products, such as Kelom Geulis, has become increasingly intense along with the growing public interest in aesthetically and culturally valuable items. This competition forces producers to develop effective marketing strategies to maintain their competitiveness. This study adopts a game theory approach to evaluate and formulate optimal marketing strategies between two major producers. The research method involves the use of questionnaires covering three main aspects: improving product quality, setting competitive prices, and enhancing customer service. Data analysis is conducted using a payoff matrix to determine the best strategies that can increase profits or reduce losses for each party.The results show that a saddle point is reached at a value of 4.57, where PT A achieves a profit increase from 4 to 4.57, while PT B reduces its loss from 6 to 4.57. This optimal strategy can be achieved if PT A prioritizes improving product quality and setting competitive prices, while PT B A prioritizes setting competitive prices and service quality enhancement. The implementation of these strategies has proven effective in strengthening the competitiveness of Kelom Geulis in the market. This study is expected to serve as a practical reference for Kelom Geulis producers to continuously adapt their marketing strategies, ensuring their relevance in the market and appealing to consumers

Factors Influencing the Human Development Index in Indonesia Using Structural Equation Modeling-Partial Least Square Saefullah, Rifki; Ningsi, Besse Arnawisuda
International Journal of Business, Economics, and Social Development Vol 6, No 1 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v6i1.884

HDI is a benchmark for a country in achieving human development in the country. Indonesia is a developing country with a relatively increasing HDI value every year. This shows that the efforts made by Indonesia are going well. However, Indonesia experienced a decrease in HDI value in 2019 towards 2020, due to restrictions on activities caused by the Covid-19 pandemic. In addition, the HDI value in each province in Indonesia is uneven, even from the publication data of the Central Statistics Agency (BPS) shows a significant difference in HDI value between provinces in Indonesia. So that evaluation and improvement are needed to be able to equalize and stabilize HDI in Indonesia. HDI value can be influenced by several factors including economy, education, and health. This study aims to determine the direct effect of economic variables on HDI, the direct effect of education variables on HDI, the direct effect of health variables on HDI, the indirect effect of education variables on HDI through economic variables and health variables. The data used in this study are data on the Human Development Index of economic, education and health variables along with the indicators that measure them, from 34 provinces in Indonesia in 2022. This study applies SEM-PLS to determine the factors that influence the Human Development Index (HDI). The results of this study indicate that economic variables and education variables have a direct influence on the Human Development Index (HDI), while health variables have no direct influence on the Human Development Index (HDI). Then the education variable through the economic variable has an indirect effect on the Human Development Index (HDI), and the education variable through the health variable has no indirect effect on the Human Development Index (HDI).

Black Box Testing on Website-Based Guestbook Registration Applications Salih , Yasir; Saefullah, Rifki
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 2 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v2i2.96

In the rapidly developing digital era, website-based applications have become an important means of meeting the needs of various uses. One application that has received attention is the guest book registration application, which aims to record and manage guest information efficiently. In this context, application testing becomes crucial to ensure service quality, security and availability. This research focuses on black box testing, a software testing method that emphasizes the functionality and reliability of applications from the user's perspective. Testing covers key aspects such as data input, and key functionality. Through this approach, it is hoped that the research results can contribute to the development of a website-based guestbook registration application that is more reliable and suits user needs.

Analysis of the Effect of Nicotine on Brain Activity and Function Using FMRI: Implications for Cigarette Dependence Saefullah, Rifki; Hidayana, Rizki; Rusyn, Volodymyr
International Journal of Humanities, Law, and Politics Vol. 2 No. 2 (2024): International Journal of Humanities, Law, and Politics
Publisher : Communication in Research and Publications (CRP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhlp.v2i2.51

This study examines the effect of nicotine, the main compound in cigarettes, on brain activity and function using functional Magnetic Resonance Imaging (fMRI). Nicotine influences the release of neurotransmitters such as dopamine and serotonin, which affect various aspects of life, including learning, memory, alertness, and emotional balance. Dependence on nicotine can cause withdrawal symptoms, such as anxiety, depression, and sleep disorders. Neurological research shows differences in brain activity in smokers and non-smokers, especially in the ventral (rostral anterior cingulate cortex, insula, opercular, and occipital gyrus) and dorsal (dorsal medial/lateral prefrontal cortex and dorsal anterior cingulate cortex) areas. Brain disorders are also associated with psychological disorders such as anxiety, depression and compulsive behavior. Apart from that, nicotine use can also affect the dopamine and serotonin systems, resulting in sleep disorders and emotional disorders in cigarette addicts.

Balancing Resource Exploitation and Conservation: Indigenous Practices in Bintuni Bay, West Papua Saefullah, Rifki; Sandi S, Renda; Azkiyah , Hilda
International Journal of Humanities, Law, and Politics Vol. 2 No. 4 (2024): International Journal of Humanities, Law, and Politics
Publisher : Communication in Research and Publications (CRP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhlp.v2i4.157

West Papua is recognized as one of the regions with the highest biodiversity globally. Alongside this natural richness, the indigenous communities in areas such as Bintuni Bay have developed traditional ecological knowledge that has allowed them to manage the environment sustainably. These practices are passed down through generations and are reinforced by customary laws, taboos, and cultural rituals that remain relevant in modern times. However, increasing pressures from modernization, land clearance for plantations, mining, and infrastructure projects are posing significant threats to these traditional practices and ecological sustainability. This study explores the role of indigenous knowledge in environmental management, examining the balance between resource exploitation and conservation, disaster mitigation strategies, and the protection of cultural heritage.

Co-Authors Agung Prabowo Azahra, Astrid Sulistya Azkiyah , Hilda Eni Suryani Gerry Sastro Hidayana, Rizki Hidayana, Rizki Apriva Ibrahim, Riza Andrian Ilmadi Ilmadi, Ilmadi Irman, Dede Ismail, Muhammad Iqbal Al-Banna Jaizul, Alim Lianingsih, Nestia Mugi Lestari, Mugi Ningsi, Besse Arnawisuda Nirmala Sari, Deka Okta, Setyo Luthfi Permatasari, Yuni Pirdaus, Dede Irman Putra, Deva Putri, Reisya Junita Rini Cahyandari Rusyn, Volodymyr Safitri, Adinda Salih , Yasir Sandi S, Renda Saputra, Jumadil Sari, Deka Nirmala Vaidyanatahan, Sundarapandian Wahid, Alim Jaizul Waryanto, Hendro Wijaya, Deni Yohandoko, Setyo Luthfi Okta

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