e-Publikasi Ilmiah Unwahas (Universitas Wahid Hasyim)
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SINTESIS BIODIESEL MENGGUNAKAN MINYAK JELANTAH DENGAN MENGKUDU (Morinda citrifolia) SEBAGAI ADSORBEN SERTA VARIASI KATALIS NaOH DAN WAKTU TRANSESTERIFIKASI
Full text linkPeningkatan konsumsi energi dan tumpukan limbah merupakan   permasalahan besar yang muncul seiring dengan pertumbuhan ekonomi dan pertambahan penduduk. Limbah yang berupa minyak jelantah terus meningkat jumlahnya dapat menimbulkan masalah bagi lingkungan karena bersifat karsinogenik. Proses pengolahan pembuatan biodiesel dalam penelitian ini dilakukan pretreatment minyak jelantah terlebih dahulu dengan menggunakan mengkudu sebagai adsorben agar didapat asam lemak bebas yang rendah kemudian dilanjutkan dengan proses transesterifikasi langsung dengan menggunakan katalis basa NaOH. Penelitian ini bertujuan untuk mengetahui hasil pretreatment minyak jelantah menggunakan variasi adsorben mengkudu (Morinda citrifolia) sebagai bahan baku pembuatan biodiesel serta mengetahui variasi antara konsentrasi katalis NaOH dan waktu transesterifikasi yang menghasilkan biodiesel optimum. Penelitian ini menggunakan proses tranesterifikasi dengan variasi waktu 60 menit dan 90 menit serta penggunaan variasi katalis NaOH 0,5%, 1%, 1,5%, dan 2% pada temperatur 60oC. Dari hasil analisa dapat diambil kesimpulan bahwa penggunaan adsorben mengkudu 250 gram menghasilkan asam lemak bebas sebesar 1,2788% dan kondisi optimum pada saat proses tranesterifikasi dengan katalis 1,5% dengan waktu tranesterifikasi 90 menit. Pada kondisi tersebut biodiesel memenuhi standar (kadar air 0,05831%, berat jenis 0,8680 g/ml, viskositas 3,6978 cSt, bilangan asam 0,3767 mg KOH/gr sampel dan rendemen sebesar 80%) Kata kunci: Minyak Jelantah, Mengkudu, Adsorbsi, Asam Lemak Bebas dan Transesterifikas
PELATIHAN DESAIN GRAFIS MEMBUAT BOARDGAME DI TAMAN BELAJAR IPMA
Full text linkKegiatan pengabdian kepada masyarakat ini dilakukan karena terdapat temuan permasalahan bahwa Ikatan Pemuda Girikusuma (IPMA) yang memiliki program edukasi berupa taman belajar ingin menambah media pembelajaran dalam bentuk boardgame. Namun kendala selama ini yang dialami oleh IPMA adalah minimnya pengetahuan para pengurus IPMA terkait dengan desain grafis. Tujuan dari kegiatan ini adalah memberikan pengetahuan dan keterampilan kepada pengurus IPMA agar mampu membuat desain grafis, khususnya dalam membuat boardgame sebagai alternatif media pembelajaran. Kegiatan pengabdian kepada masyarakat ini akan dilaksanakan dengan menggunakan metode penyuluhan melalui beberapa tahapan. Metode penyuluhan merupakan metode yang tepat karena jumlah peserta dalam kegiatan ini mencapai 20 orang, sehingga perlu dilakukan ceramah. Selain itu, kegiatan ini juga dilakukan praktek secara kelompok untuk melakukan evaluasi terhadap materi yang sudah disampaikan. Hasilnya peserta mampu untuk membuat desain boardgame dengan konsep masing-masing dan desain boardgame tersebut dicetak sebagai contoh desain boardgame yang nantinya dapat ditingkatkan lagi desain maupun media cetaknya.Kata kunci : desain grafis, boardgame, taman belajar IPM
PELATIHAN TAEKWONDO UNTUK MENANAMKAN NILAI-NILAI KARAKTER PADA SISWA SEKOLAH ALAM SAN-HIKMAH MALANG
Full text linkPengabdian kepada masyarakat yang dilakukan di Sekolah Alam SAN-HIKMAH Malang ini yaitu melatih gerakan dasar taekwondo dalam mengembangkan karakter siswa-siswi SAN-HIKMAH. Tujuan kegiatan pengabdian kepada masyarakat ini yaitu untuk melihat apakah kegiatan pengabdian masyarakat ini dapat menjadi salah satu peminatan bagi siswa-siswi dan juga untuk mengajarkan karakter yang sesuai dengan kecerdasan (ciri dari Sekolah SAN-HIKMAH) yaitu physical dan emotional. Metode pelaksanaannya yaitu memberikan pengajaran gerakan dasar taekwondo, siswa-siswi praktek gerakan tersebut. Kegiatan itu membuat siswa-siswi dapat membentuk karakter saling membantu satu sama lain, berinteraksi dengan sosial (orang baru), dan bagaimana anak fokus terhadap apa yang diajarkan. Hasil pengabdian kepada masyarakat ini dilakukan pada siswa-siswi SAN-HIKMAH Malang ini yaitu agar anak-anak dapat lebih bersemangat dan fokus terhadap sesuatu, dimana siswa mendengarkan dengan sungguh – sungguh pelatih memberikan materi tendangan taekwondo.Kata kunci: karakter, Taekwondo, Siswa-siswi, SAN-HIKMA
Analisis Sentimen Pengguna Youtube terhadap Polemik Pelarangan Tiktok Shop menggunakan Algoritma Naive Bayes
Full text linkYoutube and TikTok are creative platforms for creating videos and interacting with users. In addition to its function as a creative platform, TikTok Shop has recently emerged as a new breakthrough in the world of e-commerce because it can combine social media and e-commerce in one platform. TikTok Shop has become controversial as it disrupts micro, small, and medium-sized enterprises (MSMEs). Due to this controversy, the Indonesian government, through the Ministry of Home Affairs under the instruction of the President of Indonesia, has officially prohibited the use of TikTok as an e-commerce platform and limited it to only being a social media or social commerce application, leading to controversy turning into polemics. This has elicited various reactions from TikTok users, MSMEs, the general public, sellers, and TikTok Shop customers. Therefore, a method is needed to classify reviews automatically by conducting sentiment analysis. In this study, 4403 comment data from one CNN YouTube content titled 'TikTok Shop Banned? Ministry of Cooperatives and SMEs: If Not Regulated, Our MSMEs Could Collapse' were collected. This research applied the naïve Bayes algorithm with a qualitative and quantitative integration method and used the Knowledge Discovery in Databases (KDD) approach and confusion matrix evaluation. The data were divided into training and test sets using four schemes: first scheme 90-10, second scheme 80-20, third scheme 70-30, and fourth scheme 60-40. After evaluating the third scheme with a 70-30% data split, it achieved the best accuracy with a 94% accuracy rate of the test data in the naïve Bayes confusion matrix, which is the percentage of successfully predicted data. Furthermore, the Recall value was 96%, Precision 98%, and F1-Score 96%. This indicates that the model has a high level of accuracy for all training and test data
Analisis Sentimen Komentar Pengguna Youtube terhadap Kebijakan Baru Badan Penyelenggara Jaminan Kesehatan Sosial Menggunakan Naïve Bayes
Full text linkMany social media platforms are used by the public to express opinions and seek information. YouTube is a media sharing site, a kind of virtual entertainment for sharing video and audio media. YouTube has become one of the most popular video viewing platforms today. There are various topics discussed in YouTube videos, one of which is the discussion about the new policy of removing class 1, 2, and 3 systems and replacing them with the Standard Inpatient Class (KRIS) system in the Social Security Administrator (BPJS) for Health. Health is also a very important issue and is still a topic that is frequently discussed everywhere and anytime. BPJS for Health greatly helps the public in overcoming the declining economy, with the existence of BPJS for Health the public does not need to pay for medical expenses. Therefore, sentiment analysis will be conducted on the services provided by BPJS for Health to determine whether public opinion about BPJS is positive, neutral, or negative. The algorithm used is Naïve Bayes. In this sentiment analysis, 2,968 datasets were crawled from YouTube using several keywords related to BPJS for Health. Based on the research results using the Naïve Bayes algorithm, the highest accuracy of the model on the test data reached 96% with a ratio of 80:20. This indicates that the model is capable of classifying sentiment in comments well. This study is dominated by positive sentiment comments at 45.9% or 1,354 data out of a total of 2,948 comment data, indicating strong support for the new policy and many who are very helped by the services of BPJS for Health
Analisis Data Sentimen Ulasan Pengguna Aplikasi Shopee di Google Play Store dengan Klasifikasi Algoritma Naïve Bayes
Full text linkThis research focuses on analyzing sentiment data from users of the Shopee e-commerce application using the Naïve Bayes Algorithm method. From 1000 datasets obtained from web scraping, reviews were analyzed to classify sentiment into positive or negative. With a ratio of 80% training data and 20% test data, the model developed achieved an accuracy of 95.5%. The classification results show precision 86.76%, recall 1%, and f1-score 92.91%. Even though the recall is low, the high accuracy shows that the model has good performance in predicting sentiment data. Recommendations can be provided to Shopee developers to improve customer satisfaction based on this sentiment data analysis
Klasifikasi Algoritma KNN dalam menentukan Penerima Bantuan Langsung Tunai
Full text linkPoverty is a condition where an individual or a group experiences economic incapacity to meet their basic needs, and this study involves broader aspects than just expenditures. The focus of this research is on Ciherang and Ciaro Villages, located in the Nagreg Subdistrict, Bandung Regency, which are areas with significant levels of poverty. This research responds to poverty issues by utilizing the K-Nearest Neighbor (KNN) Algorithm in the data mining classification process. KNN considers the proximity of a new object to its nearest neighbors, and as a supervised learning algorithm, KNN requires target information or classes in the analyzed dataset. The aim of this research is to provide information regarding the classification of recipients of Direct Cash Assistance (BLT) in Ciherang and Ciaro Villages. The research results present data on criteria for determining whether recipients are considered eligible or ineligible for BLT, with an accuracy rate reaching 81.56%. Additionally, the performance of this algorithm is demonstrated through true recall values for both eligible and ineligible recipients, with recall for true ineligible recipients at 88.43%, recall for true eligible recipients at 74.80%, precision for eligible recipients at 86.79%, and precision for ineligible recipients at 77.54%. These findings provide a basis for more accurate decision-making in determining BLT recipients in both villages. This can contribute to the design of more targeted and effective social policies in reducing the impact of poverty, providing in-depth insights into the characteristics of BLT recipients, and demonstrating the relevance and efficiency of the KNN algorithm in addressing complex social issues
Analisis Asosiasi Data Penjualan Produk Mega Baja Cipondoh Kota Tangerang Menggunakan Algoritma Fp-Growth
Full text linkMega Baja Cipondoh, a construction material store in Tangerang, is experiencing suboptimal sales and revenue decline. This research addresses the issue through Fp-Growth algorithm application in sales data analysis using RapidMiner. With a minimum Support of 0.002, minimum Confidence of 0.8, and lift value of 1, six significant association rules are identified. For instance, 10.4% of transactions involve purchasing both Hollo Galvanis and Pipa Galvanis. Customers buying Hollo Galvanis have a 9.6 times higher chance of also purchasing Pipa Galvanis, achieving a 100% success rate. Implementation of these findings is expected to enhance Mega Baja Cipondoh's sales strategy, optimize sales, and improve customer satisfaction, laying the groundwork for future developments in construction material sales data analysis
ASPEK - ASPEK YANG BERPENGARUH TERHADAP MINAT BERWIRAUSAHA PADA MAHASISWA
Full text linkThe aim of this research is to analyze the influence of entrepreneurial knowledge, family environment and freedom to work on students' interest in entrepreneurship at Pancasakti University, Tegal. The research method used is quantitative research. The sampling technique was purposive sampling which had the criteria of UPS Tegal accounting students who had taken entrepreneurship courses. Data collection using a G-Form questionnaire distributed to students. The research results simultaneously show that entrepreneurial knowledge, family environment and freedom to work influence students' entrepreneurial interest. Partially, entrepreneurial knowledge has a significant effect on entrepreneurial interest. The family environment has a significant influence on students' entrepreneurial interest. Freedom to work has a significant effect on students' entrepreneurial interest. Keywords; Entrepreneurship knowledge, Family environment, Freedom in entrepreneurship, Interest in entrepreneurshi
The Influence of Digital Marketing on Repurchase Intention with Consumer Satisfaction as an Intervening Variable in Oh My Skin Products
Full text linkThis research aims to analyze the influence of digital marketing on repurchase interest through consumer satisfaction as an intervening variable for oh my skin products. The population in this research are consumers who have purchased Oh My Skin products more than once or repeatedly. The data collection method is by distributing questionnaires and taking samples using the Lemeshow formula, namely 96 respondents and rounded up to 100 respondents. Data processing uses a Structural Equation Modeling approach with the help of the SmartPLS 4.0 program. The research results show that Digital Marketing has a positive and significant effect on repurchase interest, digital marketing has a significant positive effect on consumer satisfaction, consumer satisfaction has a positive and significant effect on repurchase interest, Consumer Satisfaction Variable, can mediate between the Digital Marketing Variable and Repurchase Intention. Companies are expected to be able to increase product marketing through digital marketing because it has been proven to help increase customer satisfaction and repurchase interest