bluuebunny/crossref_metadata_2025 huggingface dataset:
SIAKAD Mobile With API Service To Improve Academic Services
Authors: Husein Amir Mahmud , Simanjuntak Andre Juan , Sinaga Candra Julius , Tampubolon Mei Monica , Situmorang Priskila Natalia C.
Published: March 2024

Developing SIAKAD (commonly called SIAM, Student Academic Information System) Mobile using API Service to improve academic services for students is the goal of researchers doing so because it supports the implementation of education to create better information distribution services for everyone who wants access to it. And this also has an impact on academic performance, it is easier to organize lecturer attendance schedules, value recapitulation, and so on. Conventional SIAKAD (SIAM) which can be accessed via a computer or laptop has limited accessibility and practicality, which can hinder students from accessing academic information flexibly. Therefore, after researchers have examined and paid attention to several systems that can be implemented to assist users in accessing them, the development of SIAKAD in the form of a mobile application is a solution to increasing accessibility and ease of access to academic information. The API service is used as a communication bridge between the SIAKAD mobile application and the backend system. Through this, the Mobile Application can communicate (send requests and receive responses from the backend system) quickly and efficiently. But to shorten the application development time we use the SCRUM method and for the business process model, we use BPMN to create, design and design this application. The results of this study the authors see a compare of the time that can increase after using Mobile in access SIAKAD (SIAM).
Face Detection in Complex Background using Scale Invariant Feature Transform and Haar Cascade Classifier Methods
Authors: Damarsiwi Dyah Kartika , Pambudi Elindra Ambar , Fitriani Maulida Ayu , Wibowo Feri
Published: March 2024

Face detection is a process by a computer system that can find and identify human faces in digital images or videos. One of the main challenges faced in the face detection process is the complex background. Complex backgrounds, such as many color combinations in the image, can interfere with the detection process. To overcome this challenge, this research uses a combination of two methods: Scale Invariant Feature Transform (SIFT) and Haar Cascade Classifier. Scale Invariant Feature Transform (SIFT) is a method used in image processing to identify and describe unique features in an image. The SIFT method looks for keypoint descriptors in images that can be used as a reference in comparing different images. After the keypoint descriptor is found with SIFT, the Haar Cascade Classifier method is used to detect faces in the image. Haar Cascade Classifier is a practical algorithm for object detection in images. After facial features are extracted with these two methods, the results are compared with the K-Nearest Neighbor (KNN) approach. This research involves the introduction of 28 color images with complex backgrounds. The results of combining these two methods produce an accuracy of 81.75%. This shows that combining these two methods effectively overcomes complex background challenges in face detection.
Comparison of Naïve Bayes and SVM in Sentiment Analysis of Product Reviews on Marketplaces
Authors: Jannah Nurul Zalza Bilal , Kusnawi Kusnawi
Published: March 2024

At this time more and more people are switching to shopping online in existing marketplaces such as Shopee. Marketplaces provide various advantages and disadvantages to customers such as lower costs and goods sent not according to orders. Product reviews from customers greatly affect the sales level of business people so that sentiment analysis is carried out. The importance of conducting sentiment analysis of product reviews in the marketplace is to add an overview of how the product is received by users. This research uses Naïve Bayes and SVM algorithms for sentiment analysis of beauty care product review datasets obtained from Shopee scraping results. This research implements k fold cross validation for data splitting process of 10 folds. The Naïve Bayes algorithm obtained the highest accuracy value of 85.53% on fold 2 and the lowest accuracy value of 77.16% on fold 3. While the SVM algorithm obtained the highest accuracy value of 88.58% on fold 2 and the lowest accuracy value of 82.99% on fold 7. With this it is stated that SVM can work better for sentiment analysis of beauty care product reviews on the Shopee marketplace because it gets a higher average accuracy value of 86.14% compared to the Naïve Bayes algorithm.
Exploring Regional Development Patterns using Machine Learning: A Python-based Clustering Analysis of Human Development Index in West Java
Authors: Mariskhana Kartika , Sintawati Ita Dewi , Widiarina Widiarina
Published: March 2024

Many local governments now prioritize human development when trying to raise the standard of living and welfare of their citizens. Developing effective development policies in West Java, one of Indonesia's most populous provinces, requires a thorough understanding of human development patterns in various districts and cities. Using the Human Development Index (HDI) as the primary indicator, we examine regional development patterns in this study using machine learning techniques, specifically clustering analysis. This study's scope includes an HDI analysis for each of West Java's 27 districts and cities from 2017 to 2022. Finding clusters of districts or cities with comparable human development traits and comparing and contrasting them are our primary goals. We provide a solution that allows for improved mapping and comprehension of human development patterns in West Java by utilizing the Python programming language as the primary tool and the K-Means clustering algorithm. The study's findings indicate that there are three major categories of districts and cities, each with a distinct human development pattern. By using clustering analysis, we can determine which districts or cities within each group have the highest and lowest levels of human development. This information helps policymakers plan more inclusive and sustainable development. In conclusion, a clustering analysis approach based on machine learning can be a helpful tool for understanding and creating more focused and efficient regional development policies in West Java and other areas.
An In-Depth Analysis of SIMPKB: Revealing Performance Tests and Efficiency from a User Experience
Authors: Adi Hariono Ponco , Wardoyo Ari Eko , Azizah Habibatul
Published: March 2024

This study comprehensively analyzes the performance and usability of the SIMPKB website in the context of teacher professional development. This research carries a qualitative descriptive approach with the aim of deeply understanding the performance and usability of the SIMPKB website. This research consists of two complementary stages, the first involves performance testing using GT Metrix software, and the second phase focuses on in-depth interviews with 5 driving teachers in Kabupaten Jember by applying the concept of the Five Dimensions of Usability (5E) model. Through performance testing using GT Metrix and 5E interviews with driving teachers, significant findings have been revealed. Although SIMPKB shows relatively good response speeds, there are areas of improvement that can be improved, especially in terms of loading times and Largest Contentful Paint (LCP). The 5E evaluation of the mobilizing teacher provides an in-depth perspective on the effectiveness, efficiency, engagement, errors, and ease of learning on the platform. The test and interview results complement each other, providing a holistic picture of SIMPKB's condition and potential improvement. Improvement recommendations, which involve improving response speed and improving usability, can be a foothold for improving the user experience. Further research is recommended to explore optimizing technical performance, implementing more intuitive interface designs, and evaluating the impact of implementing improvements on user effectiveness. By adopting these recommendations, SIMPKB can continue to develop as an effective, efficient, and user-friendly platform in supporting teacher professional development.
Laptop Recommender System Using the Hybrid of Ontology-Based and Collaborative Filtering
Authors: Putra A. D. A. , Baizal Z. K. A.
Published: March 2024

In the era of ever-evolving information technology, choosing the best laptop can be a complicated task for many users. The increasing complexity of technical specifications is often an obstacle, especially for users who need help understanding them. In addressing this challenge, we propose a solution: a laptop recommendation system that considers users' preferences and functional needs. We designed this system to help users choose a laptop that suits their daily functional needs. This system uses a form of Conversational Recommender System (CRS) by combining Ontology-Based Recommender System Filtering and Collaborative Filtering (CF). Ontology-Based Recommender System Filtering ensures a strong relationship between functional needs and technical specifications of laptops, making it easier for users to identify the right laptop. At the same time, Collaborative Filtering (CF) can provide diversity to the recommended products by using similar user preference data. We evaluate the accuracy of our system by calculating the success rate of recommendation accuracy with the accuracy metric, and the evaluation results show that the success rate of recommendation accuracy reaches 93.33%. Our system is highly effective in assisting users in choosing a laptop that suits their functional needs. With our laptop recommendation system, users can confidently select the correct laptop without being burdened by technical specifications, thus making their lives easier and more productive.
Implementation of Cloud Run and Cloud Storage as REST API Service on OutfitHub Application
Authors: Tarigan Derryl Reflando , Irsan Muhammad , Fathoni Muhammad Faris
Published: March 2024

The development of Cloud Computing technology has progressed rapidly in recent years especially with the emergence of Google Cloud Services (GCR) which has become one of the leading cloud service providers. This research focuses on the OutfitHub application, which plays a role in assisting users in determining clothing styles using a personalized recommendation system. In developing this application, the research seeks to implement cloud computing services to improve application performance. The purpose of this research is to implement Cloud Computing, especially Cloud run and Cloud Storage services as Rest API in the Outfithub application. By implementing these two services, it is expected that there is no need to pay attention to the problem of Storage needs that are growing at any time and no need to worry about the need for server configuration because both of these things will be fully done by GCR. Implementing Cloud Computing will provide a variety of benefits in addition to those previously mentioned, such as: being able to access data from anywhere and at any time. This implementation is expected to be able to run OutfitHub applications in a Cloud environment in a serverless computing manner without requiring the design of unnecessary virtual machines.
Pembagian Harta Bersama Berupa Hak Royalti Hak Cipta dalam Hukum Perkawinan di Indonesia
Authors: Kudus Nurzamzawiah , Sanib Safril Sofwan , Yusuf Haris
Published: March 2024

Penelitian ini ditujukan untuk mengetahui dan memahami royalti hak cipta sebagai harta bersama dalam perkawinan serta penyelesaiannya menggunakan jalur litigasi. Selain itu, juga untuk mengetahui kedudukan royalti hak cipta dalam perkawinan sebagai benda tidak berwujud yang memiliki nilai sebagai harta bersama dalam proses pembagian harta dalam pengadilan agama. Penelitian ini menggunakan metode penelitian normatif dengan melakukan pendekatan peraturan perundang-undangan (statue approach), dan pendekatan konseptual (conceptual approach). Hasil dari penelitian status hak royalti atas hak cipta merupakan harta bersama berdasarkan Kompilasi Hukum Islam Pasal 91 dan Undang-Undang Nomor 1 Tahun 1974 tentang Perkawinan Pasal 35 ayat (1) bahwa harta benda yang diperoleh selama perkawinan menjadi harta bersama, sepanjang tidak ada perjanjian perkawinan tentang pemisahan harta. Segala sesuatu benda yang mempunyai nilai ekonomis dapat dikategorikan sebagai harta, Hak Cipta masuk kategori harta karena merupakan benda tak berwujud yang mempunyai nilai ekonomis. In casu a quo upaya yang dilakukan oleh Innara Rusli adalah proses penyelesaian melalui tahap litigasi pada Pengadilan Agama dengan ketetapan hak cipta sebagai harta bersama berdasarkan Undang-Undang Nomor 1 Tahun 1974 tentang Perkawinan Pasal 35 ayat (1).
Akibat Hukum Rapat Umum Pemegang Saham (RUPS) Terhadap Direksi
Authors: Jabalnur  , Saputra Idris , Ukkas Jumiati , Basuki Udiyo
Published: March 2024

Tujuan penelitian yaitu untuk mengetahui bagaimana kewenangan Direksi yang telah diberhentikan oleh Pemegang Saham melalui mekanisme RUPS Luar Biasa serta akibat hukum Direksi yang diberhentikan melalui RUPS Luar Biasa semenjak berakhirnya RUPS. Perubahan komposisi pengurus perusahaan melalui mekanisme RUPS Luar Biasa sering kali membuat terjadi perbedaan penafsiran akibat adanya wajib daftar perusahaan dan wajib daftar perubahan anggaran dasar serta perubahan komposisi pengurus perusahaan dalam hal ini direksi dan komisaris, perubahan anggaran dasar harus didaftarkan, sedangkan perubahan pengurus dalam hal ini Direksi dan komisaris cukup didaftarkan ke Direktorat Jenderal Administrasi Hukum Umum, Kementerian Hukum dan HAM RI, sehingga penelitian ini memberikan penegasan kewenangan dan dampak hukum perubahan direksi oleh RUPS Luar biasa menyangkut wajib daftar perusahaan.
Fibroblast Embedded 3D Collagen as a Potential Tool for Epithelial Wound Repair
Authors: Behning Claire , Kelly Lia , Smith Emma , Ma Yizhe , Roberts Louis
Published: March 2024

Collagen is a functional biomaterial with many applications, including wound healing. 3D collagen hydrogels mimic an in vivo cell culture experience used in cell survival and growth studies. In experimentally examining human cells under contact with 3D collagen, it is possible to understand the role of collagen in human epithelial tissue repair. This study explored the growth and attachment response of human MCF-7 cells when exposed to 3D collagen by investigating if the presence of NIH/3T3 fibroblasts embedded within the collagen should produce an increased wound-healing response. 3D collagen and fibroblast presence were able to be analyzed in tandem with a “sandwich-like” configuration of the gels to determine how these variables impact or improve the tissue repair response in MCF-7 cells. Examinations in growth, attachment, viability, and migration patterns demonstrated that MCF-7 repair response may be increased when in contact with NIH/3T3 embedded 3D collagen without impairing viability. Most notably, results from the migration assay revealed that MCF-7 cells migrate the most when covered by and adhered to cellular 3D collagen. Fibroblast-embedded collagen on top of and below MCF-7 cells exceeded quantitative assessment to near confluency, whereas less than 50 counted cells per image migrated without any top collagen layering. The continuation of these methods could involve in vivo experiments that incorporate live animal models to determine if these results will continue to extend to live tissue. KEYWORDS: Collagen; 3D Collagen; Fibroblasts; Wound Healing; Hydrogels; Tissue Repair; Migration
On Sample Size Needed for Block Bootstrap Confidence Intervals to Have Desired Coverage Rates
Authors: Chandy Mathew , Schifano Elizabeth , Yan Jun
Published: March 2024

Block bootstrap is widely used in constructing confidence intervals for parameters estimated from stationary time series. Theoretically, the method should provide valid confidence intervals as the length of the time series goes to infinity. In practice, however, it is necessary to know how large of a finite sample is required for block bootstrap confidence intervals to work well. This study aims to answer this question in a simple simulation setting where the data are generated from a first-order autoregressive process. The empirical coverage rates of several commonly used bootstrap confidence intervals for the mean, standard deviation, and the lag-1 autocorrelation coefficient are compared. A quite large sample is found necessary for the intervals to have the right coverage rates even when estimating a simple parameter like the mean. Some block bootstrap methods could fail when estimating the lag-1 autocorrelation. It is surprising that the coverage property even deteriorates as the sample size increases with some commonly used block bootstrap confidence intervals including the percentile intervals and bias-corrected intervals. KEYWORDS: Autocorrelation; Bias-Correction; Centering; Dependent Data; Percentile; Resampling; Simulation; Time Series
Elongation Factor P is Required for Processes Associated with Acinetobacter Pathogenesis
Authors: Kostrevski Dylan , Witzky Anne
Published: March 2024

Antibiotic resistance is one of the world’s fastest-growing and most prevalent problems today. The influx of antibiotics within our environment from inadequate antibiotic stewardship has led to a surge of drug-resistant microorganisms. The CDC has classified Carbapenem-resistant Acinetobacter (CRA) as an urgent threat within this crisis. New drug development is imperative to combat infections caused by drug-resistant pathogens such as CRA. Bacterial translation, the process of protein synthesis by the ribosome, is a common target for new antibiotic development. Elongation factor P (EF-P) is a universally conserved translation factor required for antibiotic resistance in many bacteria. In this study, we assessed the importance of EF-P in processes associated with Acinetobacter pathogenesis. In the absence of EF-P, Acinetobacter baylyi displays decreased biofilm formation, surface-associated motility, and resistance to beta-lactams and carbapenems. This data holds hope for future drug development targeting EF-P in pathogens closely related to A. baylyi. KEYWORDS: Acinetobacter baylyi; Translation; Ribosome; Elongation Factor P; Polyproline; Biofilm; Surface Associated Motility; Antibiotic Resistance
Bridging the Gap: Understanding Discrepancies in Mother-Adolescent Communication on Sexual and Reproductive Health in Kuching, Sarawak
Authors: Abdul Rahman Mohd Faizal , Safii Razitasham , Saimon Rosalia
Published: March 2024

Adolescents who have access to sexual and reproductive health (SRH) information are less likely to engage in risky sexual behaviours, and parents are among the best sources of this information. However, a lack of communication between parents and adolescents on SRH hinders the exchange of knowledge process. This study aims to describe the communication practices between mothers and adolescents on SRH in Kuching, Sarawak. A cross-sectional study was conducted in Kuching, Sarawak, on mothers and teenagers aged 13 to 17. The responses from the mothers and their respective adolescents' responses were reported as paired responses. The questionnaire was developed following the Information-Motivation-Behavioural Skills (IMB) model. Finally, the correlation between the communication level and the domains in the model was analysed. 152 pairs of mothers and adolescents participated in the study. The mean age of the mothers was 44.7 (SD=6.52) years old, and the mean age of adolescents was 15.1 (SD=1.42). About 69.1% of adolescents were female. The communication scores among the mothers were significantly higher than adolescents. Subsequently, the motivation and perceived communication skills domains were moderately correlated with their communication practice score. There was a discrepancy in the communication practice between mothers and adolescents, which indicated the effectiveness of the communication practice between mothers and adolescents on SRH. As a result, intervention programs targeting the IMB constructs of adolescents can improve the communication practice among adolescents on SRH.
A Narrative Study: Career Counselling Service among Persons with Disabilities at Vocational Centre in Sarawak
Authors: Abdullah Nur Atiqah , Jayos Samsiah
Published: March 2024

Career development embodies a disposition of career maturity, requiring individuals to comprehend the developmental tasks and responsibilities they must undertake. Central to this journey is career counselling. This study focuses on Persons with Disabilities (PWDs). This narrative study highlights the significance of career counselling as the intervention for PWDs’ career development at vocational centres. Out of 637537 registered PWDs under the Social Welfare Department, less than 12,000 registered PWDs are employed, as stated in the Malaysian Employer Federation report on November 2023. Therefore, this study uses narrative research focusing on conducting semi-structured interviews. The participants in this study consist of two PWDs: one with physical disabilities and one with learning disabilities. Through this exploration, the study aims to shed light on the challenges faced by each PWD in accessing career support and inform future interventions to promote PWDs vocational success and social inclusion. This study suggests that career counselling services are crucial for supporting the career development and self-concept of PWDs. This underscores the need for interventions to improve access to such services and promote the vocational success of PWDs.
A Novel Hybrid Unet-RBF and CNN-RBF Algorithm for Autism Spectrum Disorder Classification
Authors: Lim Huey Chern  , Saleh Al-Hababi Abdulrazak Yahya
Published: March 2024

The 2021 CDC report indicates that Autism Spectrum Disorder affects 1 in 44 children, necessitating advanced classification methods. This article proposes a hybrid deep learning approach for ASD classification, merging U-net and Radial Basis Functions for medical image segmentation and integrating Convolutional Neural Network with RBF for ASD classification. Achieving 94.79% accuracy surpasses previous studies, highlighting deep learning's potential in neuroscience. Future research should explore diverse algorithms, validating them across varied datasets with different hyperparameters to enhance ASD classification efficiency.
Using Entropy to Measure Text Readability in Bahasa Malaysia for Year One Students
Authors: Barawi Mohamad Hardyman , Osman Siti Nabilah , Abd Yusof Noor Fazilla , Ibeke Ebuka , Fadhli Muhibuddin
Published: March 2024

Text readability is essential for effective learning and communication, especially for beginner readers. However, there are no known measures to calculate the readability of Bahasa Malaysia, the national language of Malaysia. This research proposes a new method based on entropy, a measure of information and uncertainty, to assess the readability of Bahasa Malaysia texts for Year One students. An experiment was conducted with six Year One students to determine the relationship between entropy and readability. The results indicated a positive correlation, suggesting that higher entropy values corresponded with lower readability for this age group. This study also revealed the need for beginner readers to focus on the text difficulty level to enhance learning.
PERAN SEKOLAH RAMAH ANAK DALAM MENINGKATKAN AKHLAK PESERTA DIDIK STUDI KASUS DI MADRASAH TSANAWIYAH NEGERI 6 JOMBANG
Authors: Ummah Aslikhatul , Umam Khoirul , Ilahiyah Iva
Published: March 2024

This study discusses the role of child-friendly schools in improving the morals of students in Madrasah Tsanawiyah Negeri 6 Jombang. This type of case study research belongs to this type of research. The qualitative approach uses data retrieval techniques such as observation, interviews, and documentation, and data analysis techniques such as data reduction, presentation, and verification. The results of research conducted on the role of child-friendly schools in improving the morals of students in MTsN 6 Jombang. So there is a role for child-friendly schools in improving the morals of students so that akhlakul karimah is embedded in students. Through child-friendly school policies, several points can be taken in improving the morals of students. Such as child-friendly school policies, curriculum implementation, child-friendly school facilities and infrastructure, child participation, and participation of various elements of society. From these policies, it can improve the morals of students such as responsible, discipline, friendly to others, polite to others. There are supporting factors, namely all parties who contribute related in improving the morals of students. Such as educators, students, parents, the community, and the government. With this policy, Child Friendly School has a role in improving the morals of students.
IMPLEMENTASI PENDIDIKAN ROHANI DALAM PENINGKATAN MENTAL SPIRITUAL SANTRI DI PONDOK PESANTREN KALIMASADA BANGSRI PLANDAAN JOMBANG
Authors: Fadhilah Ani Nur , Surur Shobihus
Published: March 2024

Islamic spiritual education is utilized in various educational settings, such as in Islamic boarding schools (pondok pesantren). The role of Islamic spiritual education is crucial in the process of enhancing the mental and spiritual development of students (santri). Islamic spiritual education is a holistic process that involves both physical and spiritual aspects comprehensively. The process aims to provide comprehensive guidance and care for an individual's physical and spiritual well-being. This research aims to describe the aspects of spiritual and mental development and the implementation of Islamic spiritual education in enhancing the mental and spiritual growth of students at Kalimasada Bangsri Plandaan Islamic Boarding School in Jombang. This research is a qualitative study conducted at Kalimasada Islamic Boarding School in Plandaan, Jombang. Data was collected through observation, interviews, and documentation. Data analysis prioritized relevant information and was presented in a descriptive-analytical format. The conclusions were drawn descriptively. The results of this research show that the teaching of spiritual education at Kalimasada Plandaan Islamic Boarding School is conducted through providing tausiyah (spiritual talks) and spiritual guidance to the students, incorporating religious materials in learning activities, and guiding students to engage in collective worship activities such as congregational prayers, daily Quran recitation (one day one juz), group dhikr (remembrance of Allah), daily rituals, and night prayers. The mental and spiritual well-being of the students at Kalimasada Islamic Boarding School still require regular reminders and guidance to develop into individuals with perfect spiritual character. Regarding the implementation of spiritual education for students at Kalimasada Bangsri Plandaan Islamic Boarding School, it is carried out excellently and has successfully enhanced the students' mental and spiritual growth.
ESENSI PENDIDIKAN AGAMA ISLAM DALAM MEWUJUDKAN KESEHATAN MENTAL SISWI MA AL-WASHOYA NGORO JOMBANG JAWA TIMUR
Authors: Mahdiyyah Rasyidatun , Hosna Rofiatul , Arini Aida
Published: March 2024

Islamic religious education is at the same time faith education and charity education. And because Islamic teachings contain teachings about people's personal attitudes and behavior towards a prosperous life. In a historical-sociological context, Islamic education is defined as religious or Islamic education or teaching (al-tarbiyah al-diniyah, ta'lim al-din, al-ta'lim al-dini and al-ta'lim al-islami). in the context of tarbiyah al-Muslimin (educating Muslims), until completion. and differentiate it from secular education. The aim of Islamic religious education is to shape the nation's next generation into people who understand religion and can practice it well and correctly. Mental health is a state of well-being in individuals who realize their potential, are able to cope with the normal stresses of life, can work productively and fruitfully, and are able to make a contribution to their community. Mental health refers to how individuals are able to adapt and interact well. Mental health is always linearly related to human life span, therefore mental health is very important, especially for students who are focused on gaining knowledge, therefore the understanding and example of an educator is very necessary for students in maintaining and realizing mental health. The focus of this research includes: The essence of Islamic religious education in realizing mental health. This type of research uses case studies which aim to find out something comprehensively. This research includes field research by analyzing several things related to the nature of Islamic religious education in realizing mental health, by ensuring that children can apply the Islamic religious education learning they have received properly and correctly. Based on research, it was found that the results of the nature of Islamic religious education in realizing mental health: 1) Can be realized by learning Islamic religious education which is applied in everyday life 2) Religious activities are provided in schools and encouraged. through collaboration between the Principal, teachers and students in educating and developing children so that they run well, are active and conducive. So that it creates mental health in humans, the souls of female students and they are able to look after them well because they are equipped with this religion. 3) Female students understand how to realize and maintain good and correct mental health.
KOMISIONING PEMANAS LISTRIK PADA HEATING TANK SECTION HELICAL PIPE HEAT EXCHANGER
Authors: Haryanto Dedy
Published: March 2024

Untai Fasilitas Simulasi Sistem Pendingin Pasif-03 Nanobubbles Transparent (FASSP-03 NT) merupakan salah satu fasilitas penelitian untuk mempelajari sistem pendinginan pasif.  Heating Tank Section (HTS) merupakan salah satu komponen pada untai FASSIP-03 NT yang berfungsi untuk menaikkan temperatur fluida kerja, dan sebagai sumber kalor HTS menggunakan pemanas listrik tipe immersion. Penelitian dengan kegiatan komisioning pemanas listrik bertujuan untuk mengetahui kinerja dan karakterisasi pemanas listrik tipe immersion sebagai sumber kalor, sehingga saat eksperimen berlangsung dapat berjalan sesuai yang direncanakan pada matrik penelitian. Tahapan yang dilakukan adalah, melakukan eksperimen untuk mengetahui temperatur pada beberapa titik di untai FASSIP-03 NT. Pengambilan data dilakukan secara transien dan steady state terekam dan tersimpan pada komputer Data Akuisisi Sistem (DAS). Data kelistrikan pada pemanas listrik meliputi tegangan listrik dan arus listrik dicuplik dan dicatat secara manual pada interval tertentu. Hasil perhitungan diperoleh energi listrik yang digunakan sebesar 50.622.441,000 Joule. Energi listrik tersebut digunakan untuk menaikkan temperatur air sekunder HTS hingga mencapai temperatur 85 ℃ dalam waktu 7143 detik. Energi kalor yang dihasilkan oleh pemanas listrik sebesar 22.223.674,562 Joule dan efisiensinya sebesar 43,901 %.
PENENTUAN KAPASITAS PRODUKSI DAN SELEKSI PROSES PRARANCANGAN PABRIK KIMIA PUPUK ORGANIK DARI SABUT KELAPA DAN JERAMI PADI DENGAN KAPASITAS 34.000 TON/TAHUN
Authors: Hasibuan Muhammad Syahril Maghfiroh , Dewi Ernia Novika
Published: March 2024

Kompos merupakan salah satu bahan organik yang dapat bermanfaat sebagai pengganti pupuk buatan. Kompos merupakan pupuk organik hasil penguraian dari campuran bahan-bahan organik oleh mikroba dalam kondisi aerob atau anaerob. Sabut kelapa dan jerami padi merupakan bahan organik yang dapat dimanfaatkan sebagai bahan baku pembuatan kompos atau pupuk organik yang ketersediaannya melimpah. Prarancangan pabrik kimia ini bertujuan untuk menentukan kapasitas produksi dan seleksi proses pada prarancangan pabrik pupuk organik dari sabut kelapa dan jerami padiHasil dari perhitungan penentuan kapasitas yang telah dilakukan dengan perhitungan pertumbuhan rata-rata pertahun menunjukkan bahwa kapasitas produksi yang didapatkan sebesar 34.000 ton/tahun. Metode yang digunakan untuk menentukan seleksi proses adalah menggunakan metode grading (penilaian). Dari hasil grading didapatkan proses terpilih adalah proses anaerob. Proses anaerob efektif digunakan dalam pembuatan pupuk organik ditinjau dari aspek suhu, metode pembuatan, dan lama pengomposan.
PENGARUH RASIO PENAMBAHAN KOAGULAN PAC PADA PENGOLAHAN LIMBAH CAIR PUSAT PERBELANJAAN SECARA KOAGULASI-FLOKULASI
Authors: Sari Puteri Sevira , Sa’diyah Khalimatus
Published: March 2024

Pusat perbelanjaan menghasilkan limbah domestik cair yang berasal dari foodcourt, tenan makanan di beberapa lantai, bioskop, dan toilet. Salah satu IPAL pada pusat perbelanjaan di Kota Malang mengolah limbah cair secara fisik melalui grease trap, kimia melalui koagulasi-flokulasi, dan biologi melalui aerobik. Tujuan penelitian ini adalah menganalisis pengaruh rasio koagulan PAC 1000 ppm terhadap parameter pH, TDS, TSS, kekeruhan, COD, BOD, dan minyak/lemak pada pengolahan limbah cair pusat perbelanjaan secara koagulasi-flokulasi. Penelitian ini menggunakan koagulan PAC 1000 ppm. Metode koagulasi-flokulasi dilakukan pada skala laboratorium menggunakan jar test dengan variabel rasio penambahan koagulan PAC sebesar 0,5%; 1%; 2%; dan 4%. Pada koagulasi-flokulasi dilakukan pengadukan cepat 100 rpm selama 1 menit dan pengadukan lambat 30 rpm selama 20 menit. Setelah itu proses sedimentasi hasil koagulasi-flokulasi selama 30 menit. Pada hasil penelitian ini parameter pH, TDS, kekeruhan, TSS, COD, BOD dan minyak/lemak masih belum memenuhi baku mutu, hanya pada rasio 4% pada parameter minyak/lemak yang sudah memenuhi baku mutu. Hasil penelitian menunjukkan bahwa koagulan PAC 1000 ppm dengan rasio 0,5% dapat menurunkan nilai pH sebesar 2,11%. Pada rasio 2% dapat menurunkan COD dan BOD berturut-turut yaitu 50% dan 56,82%. Pada rasio 4% dapat menurunkan TDS sebesar 9,14%, pada kekeruhan sebesar 83,78%, pada TSS sebesar 17,57%, dan pada minyak/lemak sebesar 92,16%.
EFEKTIVITAS PERUBAHAN SETTING WAKTU STEP RINSING PADA PROSES REGENERASI MIXED BED DI WATER TREATMENT PLANT UNIT 7,8 PT. POMI
Authors: Amim Meylinda Miftahul , Rulianah Rulianah , Yulianto Erwan
Published: March 2024

Demineralisasi merupakan proses penghilangan ion-ion yang terkandung di di dalam air dengan adanya pertukaran ion menggunakan resin anion dan kation. Resin anion dan kation di dalam Mixed Bed akan menyerap ion-ion dalam air, namun seiring berjalannya waktu resin akan mengalami kejenuhan sehingga harus dilakukan proses Regenerasi. Regenerasi resin penukar kation dilakukan dengan menggunakan larutan H2SO4 dan regenerasi untuk resin penukar anion dengan menggunakan larutan NaOH.  Regenerasi dilakukan dengan beberapa tahapan, setiap tahapan memiliki preset-time yang berbeda. Preset-time dapat berubah sesuai kondisi Mixed Bed pada saat dioperasikan. Penelitian dilakukan dengan tujuan untuk mengetahui pengaruh perubahan waktu pada tahap rinsing proses demineralisasi Mixed Bed terhadap nilai konduktivitas pada produk keluaran Mixed Bed sekaligus mengetahui jumlah penggunaan air demin secara efisien dalam proses regenerasi Mixed Bed pada tahap rinsing. Beberapa pertimbangan terhadap permasalahan pada saat regenerasi akan berpengaruh terhadap adanya perubahan preset-time. Penelitian ini dilakukan dengan melakukan perubahan waktu pada proses regenerasi di unit demineralisasi Water Treatment Plant Unit 7,8 PT. POMI. Pada penelitian ini dilakukan perubahan preset-time pada tahap rinsing dari 120 menit menjadi 60 menit. Hasil penelitian menunjukkan bahwa pengurangan waktu pada tahap rinsing selama 60 menit sudah memenuhi parameter konduktivitas <200 µS/cm yakni 90-110 µS/cm. Sehingga dengan adanya pengurangan waktu pada tahap rinsing akan berpengaruh pada penurunan jumlah penggunaan air demineralisasi untuk proses pembilasan resin dengan efisiensi sebesar 50% dan pengehematan pengeluaran biaya air demin sebesar ± Rp75.000.000 dalam satu kali proses regenerasi Mixed Bed.
ANALISIS EKONOMI PRA RANCANGAN PABRIK KIMIA BIOPESTISIDA DARI LIMBAH KULIT BAWANG MERAH DENGAN KAPASITAS 15.000 TON/TAHUN
Authors: Noviana Kharisma Yogi , Wibowo Agung Ari
Published: March 2024

Pestisida merupakan campuran senyawa kimia untuk mengurangi organisme yang bertanggungjawab terhadap masalah di bidang pertanian. Penggunaan pestisida dapat berakibat buruk pada kesehatan manusia dan penggunaannya cukup tinggi di Indonesia. Biopestisida merupakan alternatif untuk mengurangi penggunaan pestisida kimia dengan menggunakan jenis biopestisida botani. Alternatif tanaman yang dapat digunakan sebagai bahan biopestisida adalah limbah kulit bawang merah yang memiliki aktivitas antibakteri yang baik. Tujuan dari penelitian ini adalah untuk menentukan kelayakan pendirian sebuah pabrik sehingga dapat meminimalisir terjadinya kerugian dalam investasi. Tahap analisis ekonomi dimulai dengan analisis riset pasar, penentuan kapasitas pabrik dan melakukan penaksiran modal industri dan penentuan biaya produksi total untuk melihat total pendapatan serta keuntungan (profit). Pabrik biopestisida dari limbah kulit bawang merah memiliki kapasitas 15.000 ton/tahun yang diharapkan mampu menjadi alternatif pengganti penggunaan pestisida. Evaluasi ekonomi perlu dilakukan sebelum mendirikan pabrik untuk melihat apakah pabrik menghasilkan keuntungan sehingga layak untuk didirikan. Berdasarkan analisis ekonomi pabrik didapatkan Break Event Point sebesar 36%/tahun, Return On Investment sebelum pajak 31,457% dan setelah pajak sebesar 22,42% dari modal investasi, besar nilai Pay Out Time  sebelum pajak 3,08 tahun dan sesudah pajak 4,33 tahun, dan besar nilai Shut Down Point 3%. Dari hasil analisis ekonomi menunjukkan bahwa pabrik biopestisida ini layak untuk didirikan.
PENGARUH RASIO TEPUNG TAPIOKA TERHADAP KUALITAS PAKAN IKAN LELE
Authors: Ali Nanda Yasmin Isdihar , Sa’diyah Khalimatus
Published: March 2024

Pakan ikan memiliki peran penting dalam proses pertumbuhan ikan. Pertumbuhan ikan dapat maksimal apabila jumlah pakan, kualitas pakan dan kandungan nutrisi dalam pakan ikan terpenuhi dengan baik khususnya ikan lele. Harga bahan baku pakan yang semakin tinggi menyebabkan harga pakan meningkat, sehingga untuk menekan harga pakan perlu dicari bahan baku lokal yang mudah didapat dan harga terjangkau. Salah satunya dengan memanfaatkan tepung tapioka sebagai bahan perekat untuk pakan ikan. Selain digunakan sebagai perekat dalam pakan ikan, penggunaan tepung tapioka juga memiliki kandungan nutrisi yang sesuai kebutuhan pertumbuhan pada ikan dan memiliki struktur yang kuat, kompak dan solid sehingga pakan tidak mudah mengalami kerusakan. Berdasarkan pernyataan tersebut dilakukan penelitian untuk mengetahui pengaruh rasio tepung tapioka terhadap peningkatan kualitas pakan ikan lele. Pembuatan pakan ikan lele diawali dengan pencampuran tepung tapioka, tepung maggot, tepung jagung dan dedak agar menjadi pelet. Penelitian menggunakan metode eksperimen dengan pencampuran bahan, pencetakan kemudia pengeringan. Adapun variasi tepung tapioka yang digunakan adalah 10%, 20%, 30%, dan 40%. Hasil analisis yang dilakukan pada penelitian ini menunjukkan bahwa pakan ikan lele dengan rasio tapioka sebesar 40% merupakan kualitas terbaik sesuai SNI 01-4087-2006 dengan nilai yang didapat pada kadar air 6%, kadar abu 7,08%, kadar protein 54% dan kadar lemak 27,19%.
PENGARUH PENAMBAHAN KOTORAN SAPI TERHADAP KARAKTERISTIK PUPUK ORGANIK PADAT BERBAHAN SABUT KELAPA DAN JERAMI PADI
Authors: Abidin Muhammad Yusuf , Novika Ernia
Published: March 2024

Indonesia merupakan negara agraris sehingga aspek pertanian menjadi sangat penting dalam menjamin ketahanan pangan nasional. Permasalahan yang dihadapi dalam mendukung produksi pangan adalah minimnya ketersediaan pupuk pada saat musim tanam sehingga berdampak pada rendahnya produktivitas tanaman pangan yang dihasilkan. Penggunaan pupuk kimia berlebih berdampak buruk bagi lingkungan dimana dapat mengakibatkan ketidakseimbangan unsur hara, struktur tanah menjadi rusak sehingga tingkat kesuburan tanah menurun. Penambahan kotoran sapi pada pembuatan pupuk organik padat berfungsi untuk meningkatkan unsur fosfor dan nitrogen. Penelitian ini bertujuan untuk mengetahui pengaruh penambahan kotoran sapi terhadap karakteristik pupuk organik padat. Bahan baku yang digunakan berupa sabut kelapa, jerami padi, kotoran sapi dan activator EM4. Penambahan kotoran sapi divariasikan 20%, 30%, 40%, 50% dan 60% dari 100 gram campuran jerami padi dan sabut kelapa. Jerami padi dan sabut kelapa sebagai bahan baku utama yang digunakan dengan perbandingan 1:1. Dilakukan pengamatan karakteristik pupuk organik padat meliputi kadar air, suhu, dan pH selama empat minggu. Hasil penelitian menunjukkan penambahan kotoran sapi terbaik pada variabel 30% dimana kadar air sebesar 22,84% , suhu produk 29 0C dan pH sebesar 7,37. Hasil tersebut telah sesuai dengan SNI 7763 : 2018 dimana standar kadar air ( 8 – 25%) dan pH  (4 - 9).
EVALUASI TPM (TOTAL PRODUCTIVE MAINTENANCE) DAN PENERAPAN AM (AUTONOMOUS MAINTENANCE) PADA PRODUKSI SUSU KENTAL MANIS DI PABRIK DAIRY
Authors: Pratitis Aryka Chandra Wahyu , Maryanty Yanty
Published: March 2024

Total Productive Maintenance (TPM) merupakan suatu metode yang bertujuan untuk memaksimalkan efisiensi penggunaan peralatan dan memantapkan sistem perawatan yang dirancang untuk keseluruhan peralatan dengan mengimplementasikan suatu aturan dan memberikan motivasi kepada seluruh bagian yang berada di dalam perusahaan tersebut. Pabrik Dairy merupakan industri yang bergerak di bidang proses pembuatan susu segar dalam kemasan dimana dalam proses produksinya terdapat beberapa tahapan proses seperti dumping, mixing, pasteurization, evaporation, crystalization, filling, dan packing dari proses awal hingga ke tahapan pengemasan produk Pabrik Dairy menerapkan program TPM pilar 1 yaitu Autonomous Maintenance (AM). Autonomous Maintenance (AM) merupakan pilar terpenting dari Total Productive Maintenance (TPM) dimana Autonomous Maintenance (AM) menuntut keterlibatan operator secara mandiri dalam kegiatan perawatan dan bertujuan untuk meningkatkan pengetahuan, tanggung jawab, dan keterampilan operator produksi terkait mesin. Autonomous Maintenance (AM) akan meningkatkan produktifitas secara keseluruhan. Maka dari itu, Total Productive Maintenance (TPM) juga berhubungan dengan Sistem Manajemen Mutu (SMM) yang ada di industri dimana Pabrik Dairy ini sangat peduli dengan mutu produk yang dihasilkan dan dengan mutu produk yang baik maka diperlukan peran dari mesin-mesin produksi yang optimal dan agar kekuatan mesin tersebut tetap terjaga. Meningkatkan mutu produk serta kondisi mesin yang optimal dapat dengan menggunakan metode studi pendahuluan, observasi area, dan improvement area bertujuan untuk mendapatkan standar cleaning yang baru, serta pembaruan area pada departemen produksi pada Pabrik Dairy. Berdasarkan penelitian yang sudah dilakukan didapatkan data berupa persentase keberhasilan pada pilar 1 Total Productive Maintenance (TPM) yaitu Autonomous Maintenance (AM) pada step 1 sebesar 98%, step 2 98%, dan step 3 80% serta data downtime pada periode bulan Juli hingga Desember 2022. Penerapan standar cleaning dan pembaruan area filling packing telah dijalankan dengan cukup baik meliputi pembuatan standar cleaning, inspeksi, safety map, Countermeasure for the Cause and Effect of Dirt, dan lubrikasi.
ANALISIS EKONOMI PRARANCANGAN PABRIK PAKAN IKAN NILA DARI AMPAS TAHU DENGAN KAPASITAS 10.000 TON/TAHUN
Authors: Pertiwi Rindy Ayu , Firlana Adha , Sa'diyah Khalimatus , Falah M. Nur Abror , Prasetyo Sandy
Published: March 2024

Ikan nila merupakan komoditas ikan hasil budidaya dengan produksi tertinggi di Indonesia. Berdasarkan data Badan Pusat Statistik (BPS), produksi ikan nila tercatat 1.374.230 ton pada tahun 2019. Hal ini menunjukkan bahwa permintaan ikan nila terus meningkat dari waktu ke waktu, sehingga kebutuhan pakan pun juga harus dipenuhi. Seiring dengan itu, melimpahnya pasokan ampas tahu yaitu sebanyak 103.070 ton per tahun memberikan alternatif solusi yang menarik sebagai bahan baku dalam pembuatan pakan ikan nila ini. Pemanfaatan ampas tahu juga dapat mengurangi biaya produksi serta mengurangi dampak lingkungan dari limbah industri pengolahan tahu secara optimal. Penulisan artikel ini bertujuan untuk mengevaluasi kelayakan pendirian pabrik dengan menganalisis parameter ekonomi, sehingga prarancangan pabrik kimia pembuatan pakan ikan nila dari ampas tahu dengan kapasitas 10.000 ton pertahun ini diharapkan dapat menyumbang produksi pakan ikan nila untuk memenuhi kebutuhan dalam negeri. Hasil perhitungan analisis ekonomi pada pabrik ini didapatkan total capital investment (TCI) sebesar Rp22.066.174.690,- dan total production cost (TPC) sebesar Rp96.430.085.035,-. Laba kotor yang diperoleh sebesar Rp10.347.354.865,- dan laba bersih sebesar Rp7.298.148.475,-. Laju pengembalian modal (ROI) sebelum dan setelah pajak berturut-turut sebesar 55% dan 39% dengan jangka waktu pengembalian modal (POT) setelah pajak selama 1,89 tahun. Titik break even point (BEP) pada kapasitas sebesar 57,72%, shut down point (SDP) sebesar 39,97%, dan internal rate of return (IRR) sebesar 35,2869%.  Berdasarkan perhitungan tersebut, maka prarancangan pabrik pakan ikan nila ini layak untuk didirikan.
PENGARUH JENIS ADSORBEN BATUAN TERHADAP PARAMETER LIMBAH CAIR MALL X MELALUI PENGOLAHAN SECARA ADSORPSI
Authors: Dewi Anisa Rahma , Sa'diyah Khalimatus
Published: March 2024

Limbah cair domestik Mall X di Kota Malang memiliki nilai COD, BOD, TSS, dan minyak lemak yang melebihi ambang batas baku mutu yang ditetapkan. Pengolahan limbah cair pada Mall X selama ini masih menggunakan proses kimiawi. Perlu dilakukan alternatif pengolahan limbah menggunakan metode lain untuk mencapai baku mutu, salah satunya yaitu pengolahan secara adsorpsi. Penelitian ini bertujuan untuk menganalisis pengaruh proses pengolahan limbah cair menggunakan metode adsorpsi dengan variasi jenis media adsorben batuan terhadap parameter pH, COD, BOD, TSS, minyak lemak, TDS, turbidity, dan kesadahan. Variabel dalam penelitian ini yaitu jenis adsorben, meliputi zeolit, batu apung, karbon aktif, dan kombinasi (zeolit-batu apung-karbon aktif). Adsorben dilakukan aktivasi terlebih dahulu menggunakan larutan HCl 3 M, selanjutnya digunakan sebagai media adsorben di dalam kolom adsorpsi berdiameter 10 cm dan tinggi 39,5 cm. Proses adsorpsi dilakukan dengan mengalirkan air limbah dari bak penampung dengan debit 0,412 L/menit secara kontinyu ke dalam kolom adsorpsi. Hasil penelitian menunjukkan bahwa penggunaan adsorben kombinasi merupakan adsorben yang paling efektif daripada penggunaan adsorben zeolit, batu apung, dan karbon aktif, dalam menurunkan TDS, turbidity, kesadahan dan BOD dengan efisiensi penurunan masing-masing yaitu sebesar 32,4%; 41,8%; 27,1%; dan 56,2%. Sehingga penggunaan adsorben kombinasi paling efektif dalam menurunkan parameter pencemar limbah cair Mall X.
PENGARUH JENIS ASAM DAN VOLUME ASAM TERHADAP KARAKTERISTIK GELATIN DARI TULANG KAKI AYAM
Authors: Venerandra Tabita Emeren , Hadiantoro Sigit , Natasya Ardia
Published: March 2024

Gelatin merupakan jenis protein yang diperoleh dari jaringan kolagen hewan. Gelatin yang diproduksi dari kulit babi dan tulang sapi dapat menyebabkan ketidaksesuaian bagi masyarakat di Indonesia yang mayoritas beragama Islam dan Hindu. Adapun tujuan dari penelitian ini adalah untuk mengetahui pengaruh jenis asam dan volume asam terhadap karakteristik gelatin dari tulang kaki ayam, serta mengetahui variabel yang dapat menghasilkan gelatin paling optimal. Variabel yang digunakan yaitu jenis asam (asam fosfat dan asam sitrat), dan volume asam (100 ml, 150 ml, 200 ml dan 250 ml). Dalam pembuatan gelatin ini dilakukan beberapa tahapan yaitu pencucian, pengecilan ukuran, perendaman dengan larutan NaOH 1%, perendaman dengan larutan asam 5%, penyaringan, penguapan, dan pengeringan. Pada perendaman menggunakan asam fosfat nilai rendemen, kadar abu dan viskositas lebih besar daripada dengan perendaman menggunakan asam sitrat. Semakin besar volume asam maka nilai rendemen dan viskositas semakin besar sedangkan nilai kadar abu semakin kecil. Dari hasil penelitian diperoleh karakteristik gelatin yang optimal dan memenuhi spesifikasi standar mutu gelatin Standar Nasional Indonesia (SNI) pada variabel jenis asam fosfat 5% dengan volume asam 200 ml yaitu diperoleh nilai rendemen sebesar 18,75%, kadar air 5,33%, kadar abu 13,73% dan viskositas 0,133 cP.