bluuebunny/crossref_metadata_2025 huggingface dataset:
Perencanaan dan Pengendalian Persediaan Obat Terlaris Pada Apotek Zakky
Authors: Sholikhah Minhatin Nisaatus , Megasari Yusnia , Pradana Mohammad Syaiful
Published: August 2024

This study aims to analyze the control of drug supplies at Zakky 3 pharmacies from December 2020 to January 2021. The data used are primary data and secondary data. Data collection methods used in this study are observation, interviews, and documentation. For drug procurement planning, in this study an analysis of the investment value was conducted to determine which  drugs were included in groups A, B, and C. Furthermore, the Economic Order Quantity (EOQ) calculation was carried out to determine the number of economic orders, as well as the calculation of Reorder Point (ROP) for know the point of reordering  drugs for the period of 2021. The results of the analysis show that in the ABC analysis of investments, 500 types of drugs are included in group A or 31% of all drugs, absorbing 78% of investment, group B with 496 types of drugs or 31% % of all drugs, absorbing 16 %% of investment. Meanwhile, group C with 612 types of drugs or 38%% of all drug item drugs only absorbed 6% of the investment. Also obtained are the results of EOQ and ROP calculations for the period of 2021. This calculation is useful for helping pharmacies in drug procurement so that there is a balance between service levels and costs.
Vehicle Routing Problem by Combining Nearest Neighbour and Local Search
Authors: Iswardani Kurnia , Aprilia Ira , Putri K Dwi
Published: August 2024

PT. X is a company tasked with distributing Elpiji Gas to major agents. The problem under study is to find a more optimal distribution route so it can maximize the use of other resources, for example the number of trucks used. This distribution problem will be solved by a combination two methods, Nearest Neighbor and Local Search with the hope of getting the shortest route. The way the Nearest Neighbor method works is selecting the Agent's location based on the shortest distance from the last location and improving the solution using Local Search (intra-route insertion (1-0)) by moving one customer's position in one route so that a good distribution route is produced
Clustering Daerah Bencana Alam di Indonesia Menggunakan Metode Fuzzy C-Means
Authors: Yulianto Tony , Rahmah Alfiana Faizzatur , Faisol Faisol , Amalia Rica
Published: August 2024

Bencana alam merupakan kejadian luar biasa yang disebabkan oleh faktor alam ataupun faktor dari ulah manusia yang berdampak pada lingkungan dan manusia itu sendiri. Indonesia menjadi salah satu negara yang menjadi rawan bencana alam seperti tanah longsor, banjir, banjir bandang, gempa bumi, tsunami, kekeringan, kebakaran, gunung meletus, puting beliung dan gelombang pasang laut, Sehingga menimbulkan kerusakan lingkungan, kerugian harta benda, dampak psikologis, dan bahkan menimbulkan korban jiwa. Dalam penelitian ini dapat mengcluster bencana alam antara aman, cukup aman, rawan dan sangat rawan, sehingga dalam penyaluran bantuan bisa tepat sasaran. Dalam melakukan pengelompokan disini banyak metode yang bisa digunakan, namun dalam penelitian ini peneliti menggunakan metode Fuzzy C-Means. Dari hasil penelitian tersebut ada 11 provinsi yang masuk pada cluster 1, 4 provinsi yang masuk pada cluster 2, 13 provinsi yang masuk pada cluster 3 dan 6 provinsi yang masuk pada cluster 4. Berdasarkan hasil clustering terdapat beberapa provinsi yang paling rawan bencana adalah provinsi Aceh, Sumatera Utara, Riau, Sumatera Selatan, Lampung, Jawa Barat, Jawa Tengah, Jawa Timur, Nusa Tenggara Timur, Sulawesi Tenggara, Sulawesi Selatan, Papua, dan Papua Barat.
Analisa Pertimbangan Hakim Dalam Menjatuhkan Putusan Bagi Pelaku Tindak Pidana Terhadap Satwa Liar (Studi Kasus Putusan Pengadian Negeri Cibinong Nomor 494/Pid.B/LH/2021/PN Cbi).
Authors: Leisdianto Maylano Dwi , Nachrawi Gunawan
Published: August 2024

sehingga kelestariannya harus dilindungi dengan cara mengurangi perdagangan hewan ilegal dan pemburuan satwa langka. Rumusan dalam penelitian ini yaitu bagaimana perlindungan hukum terhadap keberadaan satwa liar di Indonesia? Dan bagaimana analisa pertimbangan hakim Pengadilan Negeri Cibinong dalam menjatuhkan putusan terhadap perkara Nomor 494/Pid.B/LH/2021/PN Cbi?. Metode penelitian yang digunakan adalah pendekatan Pendekatan yuridis normatif. Pendekatan yuridis normatif adalah pendekatan yang dilakukan berdasarkan bahan hukum utama dengan cara menelaah teori-teori, konsep-konsep, asas-asas hukum serta peraturan perundang-undangan yang berhubungan dengan penelitian ini. Hasil yang diperoleh dari penelitian ini yaitu bahwa sanksi pidana terhadap pelaku tindak pidana yang berkaitan denga satwa liar telah diatur dalam Pasal 21 ayat 2 Undang – Undang Nomor 5 Tahun 1990 tentang Konservasi Sumber Daya Alam dan Ekosistemnya yang menyatakan bahwa setiap orang dilarang untuk menangkap, melukai, membunuh, menyimpan, memiliki, memelihara, mengangkut dan memperniagakan satwa dilindungi baik dalam keadaan hidup maupun mati. Dan bagi yang sengaja melakukan pelanggaran terhadap pasal diatas maka bisa dipidana penjara hingga lima tahun dan denda paling banyak seratus juta rupiah. Sedangkan bagi yang lalai melakukan pelanggaran tersebut dapat dipidana kurungan paling lama satu tahun dan denda paling banyak lima puluh juta rupiah. Dasar pertimbangan Hakim dalam menjatuhkan putusan terhadap terdakwa dalam putusan nomor  494/Pid.B/LH/2021/PN Cbi terkait Tindak Pidana Terhadap Satwa Liar, putusan yang dijatuhkan kepada terdakwa oleh hakim menurut penulis sudah tepat karena pada kasusnya dalam proses pengambilan keputusan hakim, sudah sesuai yaitu dalam mempertimbangkan tuntutan jaksa penuntut umum terhadap kasus ini kemudian majelis hakim mempertimbangkan tentang pertanggungjawab pidananya dan berdasarkan fakta-fakta yang terungkap dalam persidangan serta dalam memutuskan melalui bukti ditambah keyakinan hakim telah terpenuhi. Adapun pidana yang dijatuhkan yaitu penjara selama 5 (lima) bulan dan menjatuhkan pidana denda terhadap Terdakwa Nurhadi sebesar Rp. 20.000.000, 00 (dua puluh juta rupiah) dengan ketentuan apabila denda tersebut tidak dibayar maka akan diganti dengan pidana kurungan selama 2 (dua) bulan.
RANCANG BANGUN MESIN PENCACAH ECENG GONDOK BASAH DENGAN KAPASITAS 50 KG/JAM SEBAGAI BAHAN PUPUK ORGANIK
Authors: Listiyanto Alif Bagus , . Oleh , Santoso Deri Teguh
Published: August 2024

AbstrakPenelitian ini dilakukan atas latar belakang masalah limbah di kali malang yang terganggu kelestariannya dengan berkembangnya pertumbuhan massal gulma air. Terutama limbah dari jenis eceng gondok (Eichornia crassipes). Dampak dari pertumbuhan gulma air ini adalah meningkatkan evapotranspirasi, sedangkan gulma yang mati dapat menimbulkan terjadinya pulau-pulau terapung, namun keberadaan sarana diatas tidak terawat sebagaimana mestinya. Tujuan penelitian ini adalah untuk membuat suatu mesin pencacah yang nantinya dapat mengolah eceng gondok untuk menghasilkan potongan eceng gondok dengan ukuran yang diinginkan. Pencacah ini digerakkan oleh motor penggerak listrik dengan yang mana memiliki sistem kerja sebagai berikut, motor penggerak memutar poros utama, kemudian pisau pencacah dimana terdapat 2 pisau pencacah ikut bergerak dengan poros. Hasil dari penelitian ini adalah sebuah mesin pencacah eceng gondok yang mampu mencacah eceng gondok menjadi kecil dengan kapasitas 50 Kg/ Jam.Kata kunci: Mesin Pencacah, eceng gondok, pupuk organicAbstractThis research was conducted against the background of the problem of waste in Malang River whose sustainability has been disturbed by the mass growth of water weeds. Especially the water hyacinth waste. The impact of the growth of these water weeds is to increase evapotranspiration, while dead weeds can cause floating islands, but the existence of the above facilities is not properly maintained. The purpose of this research is to make a chopping machine that can process water hyacinth to produce pieces of water hyacinth with desired size. This counter is driven by an electric motor which has the following working system, the drive motor rotates the main shaft, then the chopper blade which has 2 chopper blades moves with the shaft. The result of this reseaech is a water hyacinth chopping machine that is capable of chopping water hyacinth into small pieces with a capacity of 50 Kg/ hour.Keywords: Chopping Machine, water hyacinth, organic fertilizer.Available online at JKTM Website :http://journal.uta45jakarta.ac.id/index.php/jktm/indexJURNAL KAJIAN TEKNIK MESIN Vol. 8 No. 1Jurnal ArtikelArtkel Info - : Received : ; Revised : ; Accepted:1. PENDAHULUANEichhornia crassipes ((Mart.) Solm.) atau yang
Scaffolding Learning and its Application to Energy Conservation Field Training: A Bibliometric Analysis
Authors: Rohmatulloh Rohmatulloh , Murtafiah Nurul Hidayati , Dyah Aspita , Zuhri M. Tajudin , Sahlani Lalan , Ibrohim Iim
Published: August 2024

Scaffolding learning in training provides effective and efficient support to learners gradually according to their dynamic assessment achievements. Our contribution is to explore the trend of scaffolding learning in training research that has not been done in previous studies. Bibliometric analysis using Scopus scientific database for two decades (2004-2023). Data analysis used performance analysis, co-word analysis, and network visualization analysis. The results of research theme mapping show that instructional scaffolding has yet to be widely explored. Instructional scaffolding is a topic that provides a challenge for facilitators as a training solution in the field of energy conservation using a combination of learning forms, i.e., one-to-one, peer, and computer-based scaffolding.
PENGARUH FAKTOR-FAKTOR KONTEKSTUAL TERHADAP KEBERHASILAN PELATIHAN APARATUR: TINJAUAN PUSTAKA DAN KERANGKA KONSEPTUAL
Authors: Sedayu Ariraya , Adiyasa Reka
Published: August 2024

Pelatihan aparatur di sektor publik memiliki peran penting dalam pengembangan sumber daya manusia dan meningkatkan efisiensi administrasi pemerintahan. Keberhasilan pelatihan ini tidak hanya dipengaruhi oleh kualitas materi pelatihan dan metode pengajarannya, tetapi juga oleh faktor-faktor kontekstual seperti budaya organisasi, kebijakan organisasi, dukungan manajerial, dan ketersediaan sumber daya. Penelitian ini membahas pengaruh faktor-faktor kontekstual terhadap keberhasilan pelatihan aparatur di lingkungan pemerintahan Indonesia. Meskipun telah ada banyak penelitian tentang faktor-faktor yang memengaruhi keberhasilan pelatihan, masih terdapat kekurangan penelitian yang khusus membahas pengaruh faktor-faktor kontekstual dalam konteks pelatihan aparatur di Indonesia. Penelitian ini menggunakan metodologi literatur review untuk mengidentifikasi dan menganalisis temuan-temuan terkait faktor-faktor kontekstual dalam konteks Indonesia. Hasil analisis literatur menunjukkan bahwa budaya organisasi, kebijakan organisasi, dukungan manajerial, pengalokasian sumber daya yang memadai, motivasi individu, kualitas desain pelatihan, pengukuran dampak pelatihan, konteks Indonesia, kerjasama antara instansi pemerintah, partisipasi pemangku kepentingan, keberlanjutan program pelatihan, dan faktor eksternal memiliki pengaruh yang signifikan terhadap keberhasilan pelatihan. Dalam kerangka konseptual, faktor-faktor ini saling berinteraksi untuk membentuk pengalaman pelatihan yang komprehensif. Hasil analisis literatur ini memberikan dasar yang kuat untuk penelitian empiris lebih lanjut dan dapat memberikan wawasan berharga bagi pemangku kebijakan dan praktisi di bidang pengembangan sumber daya manusia di sektor publik di Indonesia.
ARTIFICIAL INTELLIGENCE (AI) AND CHATGPT IN LEARNING: ASSESSING EFFECTIVENESS AND OVERCOMING CHALLENGES IN THE AGE OF INDUSTRY 4.0
Authors: Gautama Budhi Pamungkas , Indriana Agusti Nila , Lazuardi Dibias , Maman Fathurohman Cecep
Published: August 2024

This research investigates the application of artificial intelligence (AI) in higher education, explicitly evaluating its effectiveness in fostering self-directed learning and self-assessment among university students. The primary objective is to assess how AI can enhance teaching-learning and promote greater learning independence. The study employed data analysis using the Rasch model and examined respondent demographics, with the sample comprising 82% male and 27% female students, predominantly aged 18-23 years. All participants were university students. Findings reveal that AI significantly decreased reliance on human guidance and facilitated increased student independence in learning. The Rasch model analysis highlighted the effectiveness of AI across various levels of learning difficulty, demonstrating its ability to adapt to individual student needs. In summary, AI integration in higher education boosts student independence and adapts to diverse learning challenges, underscoring its value in enhancing educational quality. Consequently, incorporating AI into higher education holds significant promise for advancing self-directed learning and improving academic outcomes.ABSTRAKPenelitian ini mengkaji penerapan kecerdasan buatan (AI) dalam pendidikan tinggi, dengan fokus pada efektivitasnya dalam mendukung pembelajaran mandiri dan penilaian diri di kalangan mahasiswa. Tujuan utama penelitian ini adalah untuk mengevaluasi bagaimana AI dapat meningkatkan proses pengajaran-pembelajaran dan mendorong kemandirian belajar di kalangan mahasiswa. Metode yang digunakan adalah analisis data menggunakan model Rasch dan evaluasi demografis responden, yang terdiri dari 82% mahasiswa laki-laki dan 27% mahasiswa perempuan, dengan sebagian besar berusia 18-23 tahun. Semua responden adalah mahasiswa. Hasil penelitian menunjukkan bahwa penggunaan AI secara signifikan mengurangi ketergantungan pada bimbingan manusia dan meningkatkan kemandirian mahasiswa dalam belajar. Analisis Model Rasch menunjukkan distribusi efektivitas penggunaan AI pada berbagai tingkat kesulitan belajar, mencerminkan kemampuan teknologi ini untuk beradaptasi dengan kebutuhan individu mahasiswa. Kesimpulannya, penerapan AI dalam pendidikan tinggi tidak hanya meningkatkan kemandirian mahasiswa tetapi juga dapat beradaptasi dengan berbagai tingkat kebutuhan dan kesulitan belajar, menjadikannya alat yang penting dalam meningkatkan kualitas pendidikan. Dengan demikian, integrasi AI dalam pendidikan tinggi memiliki potensi besar untuk memajukan pembelajaran mandiri dan efektivitas akademik.
Pelatihan Penyusunan Komponen Informasi Pada Label Kemasan Produk Makanan Kering Bagi UMKM di Kota Tangerang Selatan
Authors: Kuntolaksono Satrio , Ridzqo Intan Findanavy , Demami Aliviana
Published: August 2024

Pengabdian kepada masyarakat ini berfokus pada pelatihan komponen informasi terkait kemasan produk makanan kering UMKM di Kota Tangerang Selatan. Sebanyak 16 pelaku UMKM menjadi perserta yang direkomendasikan oleh Dinas Koperasi dan UMKM Kota Tangerang Selatan dan komunitas UMKM Ikatan Pengusaha Muslimah Indonesia (IPEMI). Tim pelaksana pengabdian masyarakat terdiri dari tiga orang dosen dengan dibantu oleh lima orang mahasiswa. Sebanyak 16 pelaku UMKM dengan masing-masing satu buah produk unggulan mengikuti kegiatan pelatihan yang dibagi menjadi lima kelompok bimingan bersama mahasiswa. Kegiatan diawali dengan persiapan area kerja pelatihan yang dilengkapi dengan peralatan. Selanjutnya, kegiatan utama pelatihan terdiri dari pengukuran produk ke dalam kemasan, praktik pengambilan foto dan edit foto kemasan, penulisan story selling dan pemasukan data label kemasan, dan yang terakhir yaitu hasil evaluasi kegiatan melalui pengisian kuesioner. Peserta UMKM melakukan pengisian kuesioner awal dan akhir. Dari hasil pengukuran melalui kuesioner awal yang dibandingkan dengan kuesioner akhir dapat disimpulkan bahwa peserta UMKM mengalami pemahaman yang jauh lebih baik dibandingkan saat sebelum pelaksanaan kegiatan. Harapannya setelah kegiatan ini akan adanya program berkelanjutan mengenai tentang improvisasi desain baru, teknik pemasaran di era digitalisasi dan jurus untuk meraih pasar ekspor. Sehingga, para peserta UMKM bisa terus memperbaharui, mencari peluang baru, serta menambah penghasilan dari usaha UMKM tersebut.

Kata kunci : Informasi, label kemasan, makanan kering, UMKM, Kota Tangerang Selatan
Pelatihan Memperkenalkan Budaya Betawi Pada Mahasiswa Universiti Malaya Malaysia Sebagai Upaya Pengenalan Budaya Lokal di Tingkat Internasional
Authors: Ekowati Sri Harini , Widyastuti Wahyu Tri , Alfarisi Salman , Febimulyasih Febimulyasih , Syafitri Azriana , Riget Patricia Nora Anak , Kamil Akhmad
Published: August 2024

Melestarikan budaya daerah merupakan hal yang perlu dilakukan agar budaya tetap hidup. Budaya Betawi merupakan budaya masyarakat Jakarta yang perlu juga dilestarikan. Untuk melestarikan budaya Betawi, tidak hanya perlu dilakukan di tingkat lokal, namun juga perlu adanya pengenalan di tingkat internasional. Prodi Pendidikan Bahasa Prancis, Universitas Negeri Jakarta telah banyak menjalin kerjasama dalam kegiatan akademik dengan Universiti Malaya, Malaysia seperti mengundang dosen Universiti Malaya untuk menjadi pembicara dalam kegiatan seminar dan konferensi. Program pengenalan budaya Betawi dilakukan bagi mahasiswa-mahasiwa Departement of Asia and European Languages Faculty of Languages and Linguistics, Universiti Malaya. Tim Pengabdian Kepada Masyarakat berencana melakukan kegiatan memperkenalkan dan memberikan pemahaman mengenai budaya Betawi yang unik dan menarik kepada mahasiswa Universiti Malaya. Kegiatan berupa presentasi di kelas secara daring dan luring. Presentasi berisi mengenai budaya Betawi yang terkenal dan dapat ditemui ketika mahasiswa berkunjung ke Jakarta.

Kata kunci: Pelatihan, Budaya Betawi, Pengenalan Budaya Betawi
Bacterial activity of Ethanol Extract 96% Padina australis against Escherichia coli ATCC 25922
Authors: Wijayanti DN Nani , Susanto Lunardhi , Khusnul Faizah Ana , Indrawati Maya
Published: August 2024

Padina australis is a kind of brown algae seen in vast quantities in Indonesian coastal waters. Padina australis usually uses as an antibacterial, anti-tumour, fungicide, and herbicide in the pharmaceutical industry. This utilization links to the presence of primary and secondary metabolites in Padina australis. This study aimed to see if a 96% ethanol extract of Padina australis has antibacterial activity against Escherichia coli ATCC 25922. The antibacterial activity was determined using the well diffusion method. The results of phytochemical screening of the 96% ethanol extract of Padina australis showed the content of secondary metabolites such as alkaloids, flavonoids, terpenoids, steroids, tannins, saponins, and polyphenols. The results of the antibacterial activity test of 96% ethanol extract of Padina australis with a concentration of 5%, 10%, and 15% showed that there was an anti-bacterial activity against Escherichia coli ATCC with a strong category. The inhibition zone were11.64±0.13mm, 14.27±0.54mm, and 15.19±0.46mm. It indicated that the 96% ethanol extract of Padina australis contains biological metabolites which has potential activity as antibacterial. This findings still to investigate the antibacterial activity of the 96% ethanol extract of Padina australis in greater depth, additional study is needed by raising the test concentration.
Application of UHPLC/Q-TOF-MS/MS Technique for Structural Identification and Quantitative Determination of Antihypertensive Drugs
Authors: Khan Hamid
Published: August 2024

In the presented work the Ultra-High Performance Liquid Chromatographic Time-of-Flight Mass Spectrometric (UHPLC/Q-TOF-MS/MS) method has been developed and validated for determination of SARTANS Antihypertensive Drugs such as Losartan, Telmisartan, Valsartan, Candesartan, Irbesartan and Olmesartan. The chromatographic separation was achieved on Acquity UPLCTM BEH C18 (100.0 × 2.1mm, 1.7µm) column using isocratic mobile phase consisting of acetonitrile-2mM ammonium acetate (50:50, v/v) at a flow rate of 0.25 mL/min. The Q-TOF mass spectrometer was operated in negative ionization mode and mass spectra were obtained by selecting the MS/MS transitions at m/z 421.20 to 127.00 for Losartan, m/z 513.16 to 469.13 for Telmisartan, m/z 434.50 to 255.50 for Valsartan, m/z 439.10 to 309.90 for Candesartan, m/z 427.20 to 193.10 for Irbesartan and m/z 445.50 to 235.50 for Olmesartan. The compounds were fragmented by applying MS and MS/MS conditions and fragmentation mechanisms were established. The method was developed, validated and applied for structural identification and quantitative determination of antihypertensive drugs.
LSTM-Based Soccer Video Summarization Via Event Classification for Highlighting Key Moments
Authors: Bijal U. Gadhia
Published: August 2024

Video summarization creates brief synopses of video content by selecting the most informative segments, either as key-frames or key-fragments. This study introduces an advanced method for event classification in soccer videos using a modified stacked Long Short-Term Memory (LSTM) model. By utilizing the Soccer Action Detection Compilation (SADC) dataset, which includes detailed annotations of football events, our method combines VGG16 for feature extraction with LSTM for event classification. The model efficiently identifies crucial events such as goals, goal attempts, and yellow cards, while also filtering out non-essential segments labelled as "No Events." When compared to the Bi-LSTM model, the modified LSTM demonstrates superior performance in terms of precision, recall, and F1-score for several key event classes. Specifically, at epoch 150, the modified LSTM achieves an F1-score of 0.87 for "No Event" segments and perfect precision for "Goal" events, surpassing the Bi-LSTM. These findings underscore the model's stability and accuracy, which ensure the production of high-quality highlight reels by emphasizing important events and minimizing irrelevant content. In the future, by removing non-essential segments recognized as "No Events" from any football match, one can generate perfect highlight reels that capture all crucial moments, providing viewers with a more focused and enjoyable experience.
CD-SEM Image Defect Detection and Classification Using Transformers
Authors: Hesham Samir
Published: August 2024

In the integrated circuits manufacturing process, a critical dimension scanning electron microscope machine provides high-resolution images of geometries on semiconductor wafers and measurements of the printed polygons after the photolithography process. These images and measurements are crucial for calibrating lithography process models such as the etch model, optical proximity correction model, and resist model, which are necessary for simulating the photolithography process and hence reducing the probability of defects occurrence. However, The test chips used for model calibration often contain imperfections or anomalies that require accurate detection and classification to be removed from the model calibration process. Traditionally, engineers manually filter semiconductor wafer images and their measurements, which is a time-consuming and error-prone task. Therefore, there have been attempts to use machine learning to automate image filtering. In this research, we introduce a novel approach using an image preprocessing stage followed by a transformer-based object detection model to automate detecting and classifying defects in semiconductor wafer images containing an array of lines or a matrix of contacts. The proposed approach shows improved accuracy compared to traditional methods.
PENYULUHAN TENTANG PEMANFAATAN TERAPI KOMPLEMENTER UNTUK MENGURANGI DISMENORHOE DI SMP SWASTA IMELDA TAHUN 2024
Authors: Khairani Khairani , Putri Maidina , Hutauruk Puput Melati
Published: August 2024

Menstruasi merupakan periode normal perdarahan teratur dari uterus sebagai tanda bahwa alat kandungan telah matang dan berfungsi. Banyaknya remaja putri mengalami gangguan aktivitas belajar disebabkan oleh dismenorhoe yang dirasakan yaitu berdampak pada fisik yang mudah lelah dan tidak bersemangat, serta sulit berkonsentrasi karena rasa tidak nyaman yang timbul. Beberapa jenis terapi komplementer yang terbukti efektif untuk mengurangi dismenorhoe primer diantaranya adalah terapi kompres hangat, bed rest. relaksasi, exercise dan penggunaan tanaman herbal. Sedangkan penelitian lain menyebutkan bahwa alternatif lain dapat menggunakan akupuntur, pengobatan herbal cina dan suplementasi makanan. Meskipun berdasarkan hasil penelitian terdahulu penggunaan terapi komplementer ini efektif untuk mengurangi dismenorhoe primer, tetapi pada kenyataannya di masyarakat terapi ini belum diketahui secara jelas oleh remaja putri, karena mungkin dianggap sesuatu yang tidak praktis dan perlu waktu untuk menggunakannya. Pelaksanaan PkM ini bertujuan untuk memberi penyuluhan tentang terapi komplementer dalam mengurangi dismenorea kepada remaja putri yang telah mengalami menstruasi dan terganggu aktivitasnya akibat rasa nyeri menstruasi. Metode Pelaksanaan dari pengabdian kepada masyarakat melalui penyuluhan berupa ceramah dan tanya jawab mengenai dismenorhoe dan penanganannya melalui terapi komplementer, dengan jumlah responden sebanyak 30 remaja putri siswi SMP yang sering mengalamai nyeri dismenorhoe pada saat menstruasi. hasil pre test responden sebagian besar remaja putri tidak mengetahui tentang pengetahuan remaja putri tentang penanganan dismenorhoe yaitu dalam kategori kurang sebanyak 22 responden (73,3%), setelah diberikan penyuluhan dan diukur kembali didapatkan hasil post test sebagian besar mengerti tentang pengetahuan remaja putri tentang penanganan dismenorhoe yaitu pada kategori baik sebanyak 26 responden (86,6%).
Strategy for implementing ERP systems at medium-sized enterprises
Authors: Ibragimov Artur
Published: August 2024

ERP (enterprise resource planning) is enterprise resource planning. In the most general form, ERP can be defined as the totality of all the basic business processes necessary for the management of a company: finance, personnel management, production, supply chain, services, procurement and much more.
To simplify the process of implementing ERP applications at medium-sized enterprises, it is necessary to develop a strategic model that will answer fundamental questions related to making decisions about the implementation of ERP and the implementation of ERP. This model should provide a roadmap for cost-effective, productive and controlled ERP implementation at medium-sized enterprises, step-by-step describing the implementation stages and discussing the key factors associated with each stage.
In this study, methods of qualitative research were used. For the purposes of this study, the researcher used a qualitative approach to conducting an in-depth analysis of ERP implementation factors, taking into account their adoption in medium-sized companies. The generalizability method was also used as part of the study.
In this study, a conceptual model of ERP implementation at medium-sized enterprises was created. The goal was to formulate the key factors related to the implementation of ERP in medium-sized enterprises and present them in the form of ERP implementation stages in order to provide a strategic direction for its testing in medium-sized enterprises. The proposed model not only highlights the aspects of ERP implementation, but also provides guidance on the strategic aspects of proper ERP application implementation. This model can be used as part of the ERP implementation strategy at medium-sized enterprises, allowing managers/owners of enterprises to better understand the implementation process.
Navigating Community Dynamics: Management Strategies for Sustainable SME Development
Authors: Kamal Titi
Published: August 2024

This qualitative study explores community dynamics, management strategies, and sustainable development in the context of Small and Medium Enterprises (SMEs). Grounded in grounded theory and employing purposive and maximum variation sampling, data was collected through semi-structured interviews, focus group discussions, participant observation, and documentary analysis. Analysis involved iterative coding, axial coding, and theoretical sampling. Findings highlight the multifaceted nature of communities, shaped by intricate networks, cultural norms, and institutional frameworks. Management strategies such as stakeholder engagement, community-based initiatives, environmental sustainability, and digital innovation are crucial for SME success. Challenges include limited access to resources, regulatory constraints, and cultural barriers, while opportunities lie in leveraging diversity, fostering innovation, and contributing to community resilience. The study underscores the importance of holistic approaches, tailored interventions, and collaboration for sustainable SME development. It contributes theoretical insights into community dynamics and management strategies, offering practical implications for stakeholders. Further research directions include longitudinal studies, comparative analyses, and interdisciplinary approaches to deepen understanding and advance practice in navigating community dynamics for sustainable SME development.
Strengthening Communities through SME Development: A Qualitative Analysis of Management Strategies
Authors: Rumasukun Mohammad Ridwan , Noch Muhammad Yamin
Published: August 2024

This research investigates the management strategies employed by Small and Medium-sized Enterprises (SMEs) to strengthen communities and contribute to sustainable growth. The study adopts a qualitative approach, conducting a comprehensive literature review to explore the intricate interplay between SME development and community strengthening efforts. Data collection involves systematic search and retrieval of scholarly articles, books, and reports from academic databases, with a focus on peer-reviewed publications addressing SME management strategies, community development, and relevant theoretical frameworks. Thematic analysis is utilized to identify key themes, patterns, and insights from the literature, shedding light on the role of SMEs in fostering social capital formation, entrepreneurial orientation, and participation in networks. The findings underscore the significant contributions of SMEs to social capital formation within communities through engagement in local networks, participation in community-based initiatives, and commitment to corporate social responsibility (CSR) practices. Additionally, the study highlights the instrumental role of entrepreneurial orientation in driving SME growth and innovation, as well as the importance of SME networks and clusters in facilitating knowledge exchange, collaboration, and collective learning. The research provides theoretical insights into social capital theory, entrepreneurial behavior, and network dynamics, while offering practical implications for SMEs, policymakers, and community stakeholders to promote inclusive growth and socio-economic progress within local communities.
Tax Study and Financial Performance in the Tourism Industry Post-Pandemic
Authors: Rumasukun Mohammad Ridwan , Noch Muhammad Yamin
Published: August 2024

This study conducts a comprehensive literature review to investigate the intersection of taxation policies and financial performance in the tourism industry, particularly in the post-pandemic context. The research aims to examine the impact of the COVID-19 pandemic on tourism financial performance, assess the role of taxation policies in supporting tourism recovery, and identify implications for theory and practice. A systematic review methodology is employed, involving the identification, evaluation, and synthesis of relevant literature from academic databases and scholarly sources. The analysis reveals significant adverse impacts of the pandemic on tourism revenues, profitability, and employment, exacerbating existing vulnerabilities within the sector. Taxation policies emerge as critical instruments for mitigating economic downturns, fostering resilience, and promoting sustainable development in tourism-dependent communities. Key findings underscore the need for flexible and adaptive taxation policies that align with evolving industry dynamics and prioritize social equity, environmental sustainability, and destination competitiveness. Implications for policymakers, industry stakeholders, and destination managers are discussed, emphasizing the importance of collaborative governance, innovation, and stakeholder engagement in shaping a more resilient and inclusive tourism future. The study contributes to theoretical understanding and practical decision-making in the field, offering insights into the multifaceted relationship between taxation policies, financial performance, and destination development in the post-pandemic era.
Implementation of Digital Taxes: Implications for Financial Management in Multinational Companies
Authors: Rumasukun Mohammad Ridwan , Noch Muhammad Yamin
Published: August 2024

This qualitative research explores the implications of digital taxation on the financial management practices of multinational companies (MNCs). Employing a systematic review methodology, the study aims to elucidate the impact of digital taxation regimes on MNCs' transfer pricing strategies, profit repatriation decisions, and compliance costs. By analyzing a diverse range of literature from academic databases and reputable sources, the research identifies key themes and insights relevant to the evolving landscape of digital taxation. Findings reveal that digital taxation has prompted MNCs to adapt their transfer pricing methodologies to reflect the value generated by digital activities, ensuring compliance with tax regulations and minimizing tax risks. Moreover, digital taxation influences MNCs' profit repatriation strategies, as they seek to optimize after-tax returns while navigating the complexities of global tax regimes. The study highlights the challenges posed by compliance costs and regulatory uncertainty in the digital taxation landscape, underscoring the need for adaptive strategies and technological solutions to enhance MNCs' financial resilience. Theoretical implications suggest the importance of further research to deepen our understanding of the mechanisms through which digital taxation affects MNCs' financial management practices. Longitudinal studies and comparative analyses across jurisdictions are recommended to inform policy development and managerial decision-making in the dynamic realm of digital taxation. This research contributes to the academic discourse on digital taxation and provides practical insights for MNCs seeking to navigate the complexities of the digital economy.
Influence of Regulatory Tax Changes on Business Strategies in the Telecommunications Industry
Authors: Fitri Rani
Published: August 2024

This qualitative study explores the influence of regulatory tax changes on business strategies in the telecommunications industry. The research aims to provide insights into the complex interplay between tax regulations, strategic decision-making, and industry dynamics within the telecommunications sector. Employing a systematic review and synthesis of scholarly literature, the research methodology involves comprehensive data collection, thematic analysis, and interpretation of findings. The results reveal that tax policies significantly shape telecommunications firms' cost structures, profitability, pricing strategies, and market positioning. Differential tax treatments, such as VAT exemptions and digital services tax rates, have profound implications for firms' strategic responses and competitive advantage. Moreover, the study highlights the importance of regulatory intelligence, agility, and flexibility in navigating regulatory complexities and optimizing firms' tax positions. The findings underscore the multifaceted nature of regulatory tax changes and their implications for business strategies, emphasizing the need for proactive assessment, adaptive responses, and industry engagement. This study contributes to a deeper understanding of the dynamic relationship between tax regulations and strategic decision-making in the telecommunications industry, informing evidence-based policymaking and managerial practices.
Evaluation of Property Taxes and Their Impact on the Real Estate Market
Authors: Setyo Arif
Published: August 2024

This qualitative study explores the impact of property taxes on the real estate market through a comprehensive literature review and thematic analysis. The research aims to elucidate the multifaceted dynamics of property taxation, focusing on its effects on property values, investment behavior, and local government finance. Adopting an exploratory and descriptive research design, the study systematically examines existing literature from diverse sources to uncover underlying themes and patterns related to property taxation. Data collection involves extensive review of scholarly articles, books, reports, and policy documents, employing snowball sampling techniques to enhance comprehensiveness. Thematic analysis is conducted to categorize and interpret key findings, including the capitalization effect of property taxes on property values, the role of tax incentives in stimulating investment, and the challenges posed by property tax dependence in local government finance. The study underscores the importance of considering contextual factors, such as market conditions and socio-economic dynamics, in understanding the complex relationship between property taxes and the real estate market. The findings have implications for policymakers, practitioners, and researchers, highlighting the need for targeted tax relief programs, innovative policy solutions, and interdisciplinary collaboration to address the challenges and opportunities associated with property taxation.
Black Box Watermarking for DNN Model Integrity Detection Using Label Loss
Authors: Yunfei Song Yunfei Song , Yujia Zhu Yujia Zhu , 劉洋 劉洋 , Liu Yang Daoxun Xia
Published: August 2024

After significant investments of time and resources, the accuracy of deep neural network (DNN) models has reached commercially viable levels, leading to their increasing deployment on cloud platforms for commercial services. However, ongoing research indicates that the challenges facing deep neural network models are continually evolving, particularly with various attacks emerging to compromise their integrity. Deep neural networks are susceptible to poisoning attacks and backdoor attacks, both of which involve malicious fine-tuning of the deep models. Malicious fine-tuning can lead to unpredictable outputs from deep neural network models. Although at-tempts have been made to address this issue, these solutions often increase model complexity or diminish model performance. We propose a black-box watermarking technique based on trigger image sets, which can effectively detect malicious fine-tuning while also enabling copyright authentication. This watermarking technique builds upon black-box watermarking methods, leveraging trig-ger image sets and utilizing a two-stage alternating training approach to fine-tune the model. During training, a novel loss function is employed to optimize the trigger images, thereby embedding the watermark while preserving the model’s original classification capabilities. The proposed watermarking model is highly sensitive to malicious fine-tuning, resulting in unstable classification outcomes for trigger images. Ultimately, by inputting trigger image sets and analyzing the output of the watermarking model, the integrity of the deep neural network model can be verified. Experimental results demonstrate the effectiveness of this approach in detecting the integrity of DNN models.

 
Is per capita fish consumption in Latin America aligned with international recommendations for a healthy diet?
Authors: GUZMÁN-PINCHEIRA Carla , ANDRADE-CUVI María José , PEREZ Juan Carlos Bórquez , ARAUJO-SILVA Gabriel , QUINTERO-FLÓREZ Angélica
Published: August 2024

The World Health Organization (WHO) is urging Latin American countries to prioritize the prevention of chronic noncommunicable diseases. Diet is a crucial factor in determining one’s health, and healthy eating recommendations emphasize the consumption of fish at least twice a week due to its protein, vitamin, mineral, and essential fatty acids, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). This review was designed to compare the status of fish consumption as a source of EPA and DHA fatty acids in some Latin American countries (namely Brazil, Chile, Colombia, and Ecuador), and comparisons with international recommendations within a healthy diet could contribute to the WHO’s call for a focus on preventing the aforementioned diseases in the region. A comprehensive literature search was conducted from January to October 2022 using PubMed, Scopus, EBSCO, and government compendia. Keywords included “fish,” “consumption,” “fatty acids,” “nutrients,” and “Latin America;” and “fish,” “chronic non-communicable diseases,” “all-cause mortality,” “obesity,” “cancer,” “neurodegenerative diseases,” “metabolic diseases,” “diabetes,” “polycystic ovary syndrome,” and “metabolic syndrome.” In countries such as Chile, Brazil, and Colombia, per capita fish consumption falls below WHO’s recommended levels, and the most commonly eaten species do not contain sufficient polyunsaturated fatty acids to provide an optimal intake of EPA and DHA. It is therefore recommended that each country review its dietary guidelines and fish recommendations based on the most commonly consumed species to ensure that their populations obtain the recommended intake of EPA and DHA fatty acids and thus the benefits related to the prevention of chronic noncommunicable diseases.
Rezension von: Schröder, Karl Heinz (Hrsg.), Studien zur südwestdeutschen Landeskunde
Authors: Wunder Gerd
Published: August 2024

Studien zur südwestdeutschen Landeskunde. Festschrift zum 70. Geburtstag von Friedrich Huttenlocher. Herausgegeben von Karl Heinz Schröder (zugleich in: Berichte zur deutschen Landeskunde 31). Bad Godesberg 1963. 476 S. Mit zahlreichen Karten.
Rezension von: Pfeilsticker, Walther (Bearb.), Ämter, Klöster
Authors: Lenckner Georg , Pfeilsticker Walther
Published: August 2024

Walter Pfeilsticker: Neues württembergisches Dienerbuch. Zweiter Band: Ämter. Klöster. Stuttgart: Cotta 1963
Rezension von: Kusch, Eugen, Land der Franken
Authors: Wunder Gerd , Kusch Eugen
Published: August 2024

Eugen Kusch : Land der Franken. Nürnberg: Hans Carl 1961. 36 S. 150 Bildtafeln. 29,50 DM.
Rezension von: Zanker, Richard, Geliebtes altes Stuttgart
Authors: Lenckner Georg , Zanker Richard
Published: August 2024

Richard Zänker: Geliebtes altes Stuttgart. Erinnerungen und Begegnungen. 180 S. 48 Tafeln. Stuttgart: Franckh 1963. 29,50 DM.
Rezension von: Tübinger Vereinigung für Volkskunde (Hrsg.), Zur Geschichte von Volkskunde und Mundartforschung in Württemberg
Authors: Wunder Gerd , Tübinger Vereinigung für Volkskunde
Published: August 2024

Zur Geschichte von Volkskunde und Mundartforschung in Württemberg. (Volksleben Bd. 5.) Tübinger Vereinigung für Volkskunde 1964, 317 S.
Efektivitas E-Kinerja Pada Dinas Perdagangan dan Perindustrian Kabupaten Takalar
Authors: Jaya Asri
Published: August 2024

Penelitian ini bertujuan untuk menganalisis efektivitas implementasi sistem E-Kinerja di Dinas Perdagangan dan Perindustrian Kabupaten Takalar. Menggunakan pendekatan deskriptif kuantitatif, data dikumpulkan melalui survei terhadap 100 pegawai menggunakan kuesioner yang disusun dalam skala Likert. Hasil penelitian menunjukkan bahwa sistem E-Kinerja efektif dalam meningkatkan produktivitas, kualitas kerja, dan kepuasan pegawai, dengan rata-rata skor yang tinggi pada masing-masing indikator tersebut. Faktor kepemimpinan dan pelatihan ditemukan memiliki pengaruh signifikan terhadap efektivitas sistem, sementara infrastruktur teknologi tidak memberikan dampak signifikan, mengingat kondisi teknologi yang sudah memadai. Kendala utama yang dihadapi adalah resistensi terhadap perubahan dan kurangnya sosialisasi yang efektif. Oleh karena itu, disarankan untuk memperkuat manajemen perubahan dan meningkatkan program pelatihan guna mengoptimalkan penerapan E-Kinerja di masa mendatang.
Empirical Analysis of the SAC-OCDMA-WDM System by Leveraging the AND Subtraction Technique
Authors: Islam Fahmidul , Uddin Mohammad Nasir
Published: August 2024

This study used C-band carrier frequency to assess Spectral Amplitude Coding Optical Code Division Multiple Access or SAC-OCDMA systems using Fiber Bragg Gratings (FBG) as encoders and decoders by implementing the AND subtraction detection technique. The optical transmission distance, optical power, channel bandwidth, data rate, and number of channels are only a few of the many factors that affect how well a system performs. Numerous simulations have been conducted to analyze the influence of the above-mentioned parameters on the system’s performance. The proposed SAC-OCDMA system has been integrated with the Wavelength Division Multiplexing or WDM system to increase the active channel's quantity. The network has been designed and analyzed using commercially available Optisystem software. The proposed SAC-OCDMA system architecture with two channels stays within operational limit up to unrepeated transmission over 336 km at a data rate of 1.6 Gbit/s. These results were attained with the pre-FEC threshold. Further, the SAC-OCDMA system has been simulated up to a maximum of ten channels considering the pre-FEC bit error rate threshold. The obtained results have been compared with recently reported technical articles and found superior in terms of the number of channels and transmission distance. The proposed model obtained a superior data rate of 6.4 Gbps, and a maximum transmission distance of 24 km for 10-channel architecture.
Impact of Si and GaAs as Semiconductor Materials: Designing to Application-Level Comparison
Authors: Syeda Fahima Nazreen  , M Tanseer Ali
Published: August 2024

The semiconductor industry has been making life easier by providing loads of electronic devices. With the advancement of technology, electronic devices need to be updated. This gradual upgradation has led the industry towards nanotechnology. The study is to provide an analytical comparison of the impact of Si and GaAs as semiconductor materials in designing 3D density gradient nanowire MOSFETS. The model has been designed and evaluated on the basis of the characteristics curve and transconductance range. The drain current in the Id-Vg and Id-Vd curve for GaAs used model is higher than the Si used model by about 10 times which is useful for analog applications. The threshold voltage for both models is 0.7V. Besides that, the electron concentration forming a potential well of the depth of about 104  for GaAs used material than the model made using Si as material. In the case of AC analysis, the transconductance range for the model using GaAs is almost double of the model designed using Si. Later on, the extracted data from the curves have been utilized to generate model and library files. Finally, an inverter circuit and biasing circuit have been designed with models where the output of the inverter circuit perfectly works. The frequency response curve generated using the biasing circuit showed the cut-off frequency of the GaAs used model is 10MegaHz whereas it is 1MegaHz for Si used model.