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All Journal TEKNIK Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) DINAMIKA DOTCOM YUDISIA : Jurnal Pemikiran Hukum dan Hukum Islam Rekayasa Mesin JOSINFO : Jurnal Online Sistem Informasi JEB17 : Jurnal Ekonomi dan Bisnis Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Conference on Innovation and Application of Science and Technology (CIASTECH) WIDYABHAKTI Jurnal Ilmiah Populer WIDYA LAKSANA Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Teknik Mesin Indonesia Sirok Bastra Jurnal Maps (Manajemen Perbankan Syariah) Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS Scientific Journal of Mechanical Engineering Kinematika IJECA (International Journal of Education and Curriculum Application) PROGRES PENDIDIKAN JURNAL FLYWHEEL SINTA Journal (Science, Technology, and Agricultural) Jurnal Mesin Nusantara Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) ARMATUR : Artikel Teknik Mesin dan Manufaktur Indonesian Journal of Economics and Management Journal of Applied Islamic Economics and Finance Aceh International Journal of Science and Technology Prosidia Widya Saintek JASTEN (Jurnal Aplikasi Sains Teknologi Nasional CYBER-Techn(Jurnal Informatika dan Industri) PROTON : Jurnal Ilmu-Ilmu Teknik Mesin Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan
Dadang Hermawan
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Pengaruh Berat Weight Roller Terhadap Daya, Torsi, dan Topspeed pada Honda Beat Resdianto , Agus; Hermawan, Dadang; Farid, Akhmad
PROTON Vol. 14 No. 2 (2024): PROTON: Jurnal Ilmu-ilmu Teknik Mesin
Publisher : Widyagama University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jp.v14i2.7015

Abstract

CVT (Continuous Variable Transmission) components have several components that must be considered, one of which is the roller component that is often used on the 2013 Beat automatic motorbike. The rollers found on automatic motorbikes consist of two types. The rollers have different masses on both parts. Based on the mass of the two types of rollers, a study was conducted using the experimental method, which is a form of study to find cause and effect (causal relationship) between two factors by eliminating or reducing or setting aside other interfering factors. The study was conducted to determine the effect of replacing the roller with a mass of 15 grams on power, torque and top speed on the 2013 Honda Beat motorbike. The testing tool used in this study used a dynamometer that was able to analyze the effect of roller mass on the power generated by the automatic motorbike and also the centrifugal force of the roller. The lighter the roller weight, the smaller the centrifugal force generated. However, at high engine speeds, centrifugal force will decrease faster than rollers that have a heavier weight. The torque obtained in the use of 13 gram and 15 gram rollers respectively is 9.24 Nm, 8.79 Nm obtained at 6000 rpm engine speed. While the top speed obtained from the use of 13 gram roller is 75.06 km / h in 1 second, and the top speed achieved by the 15 gram roller is 78.65 km / h in 1 second.
A Machine Learning-Based Approach for Retail Demand Forecasting: The Impact of Spending Score and Algorithm Optimization Adriani, Ni Putu Erica Puspita; Huizen, Roy Rudolf; Hermawan, Dadang
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 2 (2025): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i2.30630

Abstract

Demand forecasting in the retail industry remains a critical challenge, with inaccurate predictions leading to substantial inventory inefficiencies, financial losses, and reduced customer satisfaction. Traditional forecasting methods, primarily reliant on historical sales data, often lack the capacity to effectively model the complexities of dynamic consumer behavior and rapid market fluctuations. To address this, this study proposes a refined demand forecasting approach through the introduction of the Spending Score, a novel synthetic feature that synthesizes customer purchase frequency and total spending to augment predictive accuracy. We implement and optimize machine learning algorithms, specifically Random Forest, Decision Tree, and Support Vector Machine (SVM), using rigorous hyperparameter tuning techniques to determine the most effective model for retail demand prediction. Utilizing detailed customer transaction data, this research aims to identify key purchasing patterns that significantly influence demand variability. By integrating the Spending Score into our predictive models, we provide a data-driven framework enabling retailers to optimize inventory management, enhance targeted marketing strategies, and minimize operational inefficiencies. Empirical results demonstrate that the inclusion of the Spending Score leads to more stable and accurate demand forecasts, facilitating improved alignment between supply and market demand. While acknowledging potential limitations, including data scalability issues and the risk of feature-induced bias, future research will explore the integration of real-time data streams, advanced deep learning methodologies, and expanded datasets to further improve predictive capabilities and model adaptability in the continuously evolving retail landscape.
MANAGEMENT OF TOURIST VILLAGE MANAGEMENT IN BALI: STRATEGIES, CHALLENGES, AND OPPORTUNITIES Dadang Hermawan; I Made Darsana
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 4 No. 4 (2024): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v4i4.2389

Abstract

This study aims to analyze the social impacts, income inequality, sustainability of community-based waste management programs, and the effectiveness of the implementation of Governor Regulation No. 10 of 2022 in managing tourist villages in Bali. A qualitative approach was employed by integrating literature studies, in-depth interviews, and policy analysis. The findings reveal that the management of tourist villages has significant social impacts on local communities, including increased economic dependence on tourism and shifts in traditional cultural values. Income inequality among tourist villages is influenced by accessibility, management quality, and infrastructure. The sustainability of community-based waste management programs relies heavily on the active participation of younger generations in fostering environmental awareness. Meanwhile, the implementation of Governor Regulation No. 10 of 2022 faces challenges such as limited accessibility to remote villages and insufficient human resource capacity. This study also highlights that digitalization, through the utilization of social media and augmented reality (AR) technology, can serve as an effective strategy to enhance the competitiveness and sustainability of tourist villages.
Strategi Pemasaran untuk Meningkatkan Occupancy Kamar Hotel di Bali melalui Peningkatan Kapasitas SDM yang Bekerja Ada Online Travel Agent Dadang Hermawan; I Made Darsana; I Gusti Made Sukaarnawa; I Putu Arnawa
Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan Vol. 4 No. 3 (2025): September: Jurnal Ekonomi, Manajemen Pariwisata Dan Perhotelan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jempper.v4i3.5087

Abstract

The hotel industry in Bali is facing various challenges that have resulted in low occupancy rates. Some of the main factors contributing to this problem include increasingly fierce competition between hotels, fluctuations in tourist demand due to seasonal and global factors, and the suboptimal utilization of digital marketing channels through Online Travel Agent (OTA) platforms. One of the main causes of this suboptimal utilization of OTAs is the limited capacity of human resources (HR) to effectively manage these platforms. Many HR have not yet mastered digital marketing strategies, are unable to optimally manage hotel listings, and lack the skills to provide superior online customer service. This study aims to formulate an effective marketing strategy by improving HR competency in OTA management. The strategy focuses on digital marketing training, improving customer service quality, and optimizing information and the display of hotel listings on OTA platforms. The method used is a qualitative approach through case studies of several hotels in Bali. Data collection techniques were carried out through in-depth interviews with hotel managers, digital marketing staff, and employees directly involved in OTA management. The results show that improving HR competency through structured training and continuous development has a significant impact on increasing the number of room bookings and occupancy rates. Competent human resources can maximize hotel visibility on OTAs, respond to customer needs more quickly and accurately, and build long-term relationships with them. Integrated marketing strategies with improved human resource quality have proven key to increasing hotel competitiveness, room occupancy, and overall revenue.
STUDI PENGARUH KOMBINASI REINFORCEMENT SERAT KULIT POHON WARU DAN KARBON KEVLAR TERHADAP IMPACT STRENGTH KOMPOSIT LAMINATE Saputra, Akhmad Rizki; Huda, Khisbullah; Fadhillah, Arief Rizki; Hermawan, Dadang
Prosidia Widya Saintek Vol. 4 No. 2 (2025)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi industri material telah mendorong pencarian material alternatif yang ringan, kuat, murah, dan ramah lingkungan. Salah satu solusi adalah penggunaan serat alam, seperti serat kulit pohon waru (Hibiscus tiliaceus), yang memiliki karakteristik mirip logam. Selain itu, serat karbon Kevlar juga digunakan sebagai material penguat dalam komposit. Penelitian ini bertujuan untuk menguji pengaruh serat kulit pohon waru dan serat karbon Kevlar terhadap harga impact dan energi yang diserap pada komposit laminate. Hasil penelitian menunjukkan bahwa komposit dengan serat karbon Kevlar memiliki harga impact rata-rata tertinggi, yaitu 213,85 Joule/mm², karena kekuatan serat karbon Kevlar yang lebih tinggi serta sifat sintetiknya yang lebih rapat dibandingkan serat alam. Sebaliknya, komposit dengan serat kulit pohon waru memiliki harga impact rata-rata terendah, yaitu 32,23 Joule/mm². Namun, kombinasi antara serat kulit pohon waru dan serat karbon Kevlar menghasilkan harga impact yang lebih tinggi dibandingkan hanya menggunakan serat kulit pohon waru, dengan nilai 134,90 Joule/mm². Foto patahan menunjukkan bahwa titik patahan pada berbagai variasi tidak dapat diprediksi, karena patahan dapat terjadi pada posisi yang tidak dapat ditentukan. Penelitian ini membuktikan bahwa kombinasi serat kulit pohon waru dan karbon Kevlar memberikan kekuatan yang lebih baik dibandingkan serat kulit pohon waru.
INDONESIAN EDUCATION LANDSCAPE IN MALAYSIA: A PORTRAIT OF ONLINE LEARNING INDONESIAN SCHOOL OF KOTA KINABALU Hermawan, Dadang; Aswan, Aswan
PROGRES PENDIDIKAN Vol. 6 No. 3 (2025): September 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/prospek.v6i3.1018

Abstract

The Indonesian School of Kota Kinabalu (SIKK) is an Indonesian school located in Sabah, Malaysia. SIKK is the parent school that oversees hundreds of schools for Indonesian children in Sabah—Sarawak. Given SIKK's extensive reach, this research aims to explore how online learning has been implemented during the Covid-19 pandemic. The research method used is qualitative with a case study approach. Researchers found that SIKK implemented online learning due to the Malaysian government's prohibition on physical contact. Researchers also identified obstacles faced by students during online learning, such as difficulty accessing the internet, lack of electronic devices, and so on. Media used to support online learning include Zoom, Google Meet, and others. The conclusion that can be drawn is that SIKK has carefully designed and implemented online learning, considering various factors such as student needs, technological infrastructure, and effective teaching methods. This reflects their commitment to providing effective online education and providing an optimal learning experience for all parties involved.
Co-Authors ., silviana AA Sudharmawan, AA Adriani, Ni Putu Erica Puspita Agung Suprapto, Agung Akhmad Farid Andi Nugroho Andy Hardianto Anggunio, Cornelius Aprianto, Wahyu Rizki Arie Restu Wardhani Arief Rizki Fadhillah Arifah Bunga Fathimah As, Dikri Ilham Asmah Amir Assery, Wardah Aswan Aswan Awan Uji Krismanto Ayu, Dewi Baihaqi, Rosiawan Bambang Hendiswara Boriboon, Gumpanat Burhanudin, Achmad Cahyo, Agung Dwi Candra Ahmadi, Candra Candra, Ferdika Dwi Dewi, Ni Putu Dilia Dian Pramana Diana, Ai Djuwarsa, Tjetjep Dlofir, Aan Taufik Eko Yohanes Setyawan Elvina Zahrah Ramadhina Fachrudin Fachrudin Faqih Rofii Fathonah, Annisa Siti Febi Rahmadianto Gatot Soebiyakto Gatot Soebiyakto Gede Angga Pradipta Hardianto, Andi Hartanto, Albertus Niko Kristian Harun Alrosyid, Harun Heni Pujiastuti Huda, Khisbullah Hutri Wicaksono, Leo I Gusti Made Sukaarnawa I Gusti Putu Arlina Ayuningsih, I Gusti Putu I Made Darsana I Putu Arnawa Ida Bagus Suradarma, Ida Bagus Iriananda, Syahroni Ismail*, Nova Risdiyanto Joko Santoso Juniwati, Endang Hatma Kadafu, Abidin Kadek Eka Sapta Wijaya Kautzar, Galuh Zuhriah Khoirul Lisyaniah Kusuma, Tubagus Mahendra Lenang, Elvin Bimbu Ngunju Leo Hutri Wicaksono Luqvian, Alvan Ade Maharani, Ida Ayu Mayasari, Ine Mega Nur Sasongko Mochamad Umar Mai Mochammad Nurcholis Majid Moehaditoyo, Sri Hartutie Muhammad Ilman Nur Sasongko Muhlis Muhlis Ngudi Tjahjono Noorsyah Adi Noer Ridha Nova R. Ismail Nova Risdiyanto Ismail Nurdin, Ade Ali Nurida Finahari Nurkholis Hamidi Pakpahan, Rosma Pratama, Rizqi Fajar Purbo Suwandono Rahmad Kurniawan rahmad Kurniawan Rahmani Putri, Dian Redita Dicky Setiawan Resdianto , Agus Rivandir Ukar, Yakobus Roring, Anjalita Geraldine Roy Rudolf Huizen Ruhana, Nafisah Sanjaya, Wahyu Saputra, Akhmad Rizki Sasongko, M. Ilman Nur Sa’bana, Rifqi Fauzan Siti Zubaidah Sri Nurhayati Sumardjo Suriansyah Suriansyah Sabarudin Toto Cimurti Wedashwara, I Gede Putu Wirarama Wicaksono, Hangga Wicaksono, Leo Hutri Wirananda, Wira