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All Journal Jurnal Praksis dan Dedikasi Sosial Politicos: Jurnal Politik Dan Pemerintahan Power, Conflict and Democracy Journal Indonesian Journal of Research and Service Studies
Dana, I Gusti Ngurah Krisna
Universitas Warmadewa
Religion Humanities Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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IMPLEMENTASI MACHINE LEARNING UNTUK MENINGKATKAN KUALITAS OPERASIONAL SERVICE KENDARAAN DENGAN METODE RANDOM FOREST DAN LOGISTIC REGRESSION Mandenni, Ni Made Ika Marini; Wiratama, I Putu Bayu Adhya; Setiawan, Ariyono; Putri, Gusti Agung Ayu; Dana, I Putu Ngurah Krisna
Jurnal Praksis dan Dedikasi Sosial (JPDS) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um032v7i2p206-213

Abstract

IMPLEMENTATION OF MACHINE LEARNING TO IMPROVE THE QUALITY OF VEHICLE SERVICE OPERATIONS WITH RANDOM FOREST AND LOGISTIC REGRESSION METHODS Vehicle motor repairs (service) are an important aspect for motor vehicle owners to undertake. This activity is carried out by automotive workshops to ensure that the customer's vehicle is in prime condition. To boost sales, some automotive workshops offer various promotional packages to attract customer interest. However, in practice, this is done manually by workshop staff, resulting in suboptimal performance in offer presentations (customer calls). This research aims to build a recommendation system for package deals and offer dates to enhance the quality of customer calls in the operations of automotive workshops using Random Forest and Logistic Regression. The dataset used is operational data from customer calls at one automotive workshop in Bali. The Random Forest model achieves 91 percent accuracy, while Logistic Regression achieves 72 percent accuracy. The system developed can be used to recommend good package deals and offer dates to customers. Perbaikan kendaraan bermotor (service) merupakan hal penting untuk dilakukan bagi pemilik kendaraan bermotor. Kegiatan ini dilakukan oleh bengkel otomotif untuk memastikan kondisi kendaraan customer dalam kondisi prima. Untuk meningkatkan penjualan, beberapa bengkel otomotif menawarkan berbagai paket promo untuk menarik minat customer. Namun dalam pelaksanaannya, hal ini dilakukan secara manual oleh staff bengkel yang mengakibatkan performa penawaran (customer call) kurang optimal. Penelitian ini bertujuan untuk membangun sistem rekomendasi paket dan tanggal penawaran untuk meningkatkan kualitas customer call pada operasional bengkel otomotif menggunakan Random Forest dan Logistic Regression. Dataset yang digunakan adalah data operasional customer call salah satu bengkel otomotif di Bali. Model Random Forest mencapai akurasi 91 persen dan Logistic Regression mencapai akurasi 72 persen. Sistem yang dibangun dapat digunakan untuk merekomendasikan paket dan tanggal penawaran yang baik untuk ditawarkan kepada customer.
The Flexible Role of Middlemen in the Nutmeg Distribution Scheme in Maluku baso, avryana; Dana, I Gusti Ngurah Krisna; Syamsuri, Ulfa Aulia
PCD Journal Vol 10 No 2 (2022): PCD Journal Volume 10 No. 2 2022
Publisher : PCD Press, Department of Politics and Government - Faculty of Social and Political Sciences, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/pcd.v10i2.7565

Abstract

Nutmeg cultivation in Banda Neira integrally involves middlemen, brokers who connect nutmeg farmers with the global market. Studies of such middlemen tend to emphasise the negative effects of their relationship with farmers. However, some research on their positive impact has also been conducted. This study seeks to explain the positive effects of middlemen by describing the flexibility of the brokered system. This descriptive-qualitative research, using data sourced from a study of the literature as well as interviews with resource persons, finds that flexibility has been created with the support of a communal social system that has carefully been maintained by middlemen in the nutmeg distribution scheme and supply chain. In the nutmeg distribution scheme, farmers have the option to sell nutmeg to a private actor—PT Kamboti —, but this option is not accessible to all smallholders because of the company’s profit-oriented (market) logic. This study concludes that middlemen play a flexible role, one which is positively and highly related to the social context that they have helped create and maintain. These middlemen tend to present themselves as the brothers, or at least relatives, of the farmers. As these middlemen prioritise social approaches to increase social bonding, there is no resistance to their involvement in the nutmeg distribution scheme in Maluku.
IMPLEMENTASI MACHINE LEARNING UNTUK MENINGKATKAN KUALITAS OPERASIONAL SERVICE KENDARAAN DENGAN METODE RANDOM FOREST DAN LOGISTIC REGRESSION Mandenni, Ni Made Ika Marini; Wiratama, I Putu Bayu Adhya; Setiawan, Ariyono; Putri, Gusti Agung Ayu; Dana, I Putu Ngurah Krisna
Jurnal Praksis dan Dedikasi Sosial Vol. 7 No. 2 (2024)
Publisher : Universitas Negeri Malang

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

Abstract

IMPLEMENTATION OF MACHINE LEARNING TO IMPROVE THE QUALITY OF VEHICLE SERVICE OPERATIONS WITH RANDOM FOREST AND LOGISTIC REGRESSION METHODSVehicle motor repairs (service) are an important aspect for motor vehicle owners to undertake. This activity is carried out by automotive workshops to ensure that the customer's vehicle is in prime condition. To boost sales, some automotive workshops offer various promotional packages to attract customer interest. However, in practice, this is done manually by workshop staff, resulting in suboptimal performance in offer presentations (customer calls). This research aims to build a recommendation system for package deals and offer dates to enhance the quality of customer calls in the operations of automotive workshops using Random Forest and Logistic Regression. The dataset used is operational data from customer calls at one automotive workshop in Bali. The Random Forest model achieves 91 percent accuracy, while Logistic Regression achieves 72 percent accuracy. The system developed can be used to recommend good package deals and offer dates to customers.Perbaikan kendaraan bermotor (service) merupakan hal penting untuk dilakukan bagi pemilik kendaraan bermotor. Kegiatan ini dilakukan oleh bengkel otomotif untuk memastikan kondisi kendaraan customer dalam kondisi prima. Untuk meningkatkan penjualan, beberapa bengkel otomotif menawarkan berbagai paket promo untuk menarik minat customer. Namun dalam pelaksanaannya, hal ini dilakukan secara manual oleh staff bengkel yang mengakibatkan performa penawaran (customer call) kurang optimal. Penelitian ini bertujuan untuk membangun sistem rekomendasi paket dan tanggal penawaran untuk meningkatkan kualitas customer call pada operasional bengkel otomotif menggunakan Random Forest dan Logistic Regression. Dataset yang digunakan adalah data operasional customer call salah satu bengkel otomotif di Bali. Model Random Forest mencapai akurasi 91 persen dan Logistic Regression mencapai akurasi 72 persen. Sistem yang dibangun dapat digunakan untuk merekomendasikan paket dan tanggal penawaran yang baik untuk ditawarkan kepada customer.
Actor Networks and Environmental Conflicts: The Case of Benoa Bay Reclamation (2014-2019) I Gusti Ngurah Krisna Dana
Politicos: Jurnal Politik Dan Pemerintahan Vol. 4 No. 2 (2024): Politicos: Jurnal Politik Dan Pemerintahan
Publisher : Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/politicos.4.2.2024.137-148

Abstract

This study explores the formation of actor networks in developing conservation areas, specifically focusing on the Benoa Bay conservation area in Bali from 2014 to 2019. This period marks the beginning and temporary cessation of reclamation development permits in the area, instigated by a Presidential Decree. The study examines how actor networks form through material negotiations, categorizing actors into pros (supporting reclamation) and cons (opposing reclamation). It employs the Actor Network Theory (ANT) framework, particularly the moments concept developed by Callon, to analyze these networks and negotiations. The research is qualitative, using case studies and field data collected through interviews with relevant stakeholders. The primary findings reveal that actors on both sides—pro and con—form networks based on the material narratives they promote. For the pros, the need for tourism space justifies reclamation, while the cons focus on conservation values upheld by the Balinese community. The reclamation issue acts as a moment of problematization, bringing these opposing material narratives into conflict within the conservation area. The study follows ANT’s stages from problematization to mobilization, highlighting how the conflicting material narratives of both pro and con actors interact and influence the network formation. Ultimately, the research illustrates the dynamics of actor networks in the context of reclamation, showing how material negotiations shape these networks and the contestation over spatial production in Benoa Bay networks.
Collaborative Governance Berbasis Tri Hita Karana Pemerintah Desa Dinas dan Desa Adat di Desa Sayan, Kecamatan Ubud, Kabupaten Gianyar I Wayan Gede Suacana; I Wayan Sudana; I Gusti Ngurah Krisna Dana
Indonesian Journal of Research and Service Studies Vol. 1 No. 9 (2024): Indonesian Journal of Research and Service Studies
Publisher : Jujurnal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/8xp11z73

Abstract

Collaborative Governance Berbasis Tri Hita Karana di Desa Sayan merupakan langkah strategis untuk mengatasi kompleksitas hubungan antara Desa Dinas dan Desa Adat Sayan. Program pengabdian kepada masyarakat ini bertujuan memperkuat tata kelola pemerintahan desa secara kolaboratif dengan berlandaskan prinsip Tri Hita Karana, yaitu Parahyangan (hubungan dengan Tuhan), Pawongan (hubungan antar manusia), dan Palemahan (hubungan dengan lingkungan). Melalui pendekatan andragogi, kegiatan ini dilaksanakan dengan metode ceramah dan diskusi partisipatif untuk meningkatkan pemahaman peserta mengenai konsep collaborative governance antara Desa Dinas dan Desa Adat. Peserta diberikan materi tentang tata kelola kolaboratif berbasis Tri Hita Karana serta kesempatan mendiskusikan isu-isu aktual yang dihadapi dalam sinergi kedua lembaga tersebut. Hasil kegiatan menunjukkan bahwa kolaborasi antara Pemerintah Desa Dinas dan Desa Adat di Desa Sayan, Ubud, telah terwujud dalam beberapa aspek penting. Pertama, musyawarah bersama dilakukan untuk pengambilan keputusan strategis yang mengikat pemerintah dan masyarakat desa. Kedua, kerja sama diwujudkan dalam pengelolaan sumber daya alam dan keuangan desa. Ketiga, kolaborasi juga terjadi pada tahap perencanaan, pelaksanaan, dan pengawasan pembangunan desa. Adapun model governance yang diterapkan mencerminkan dua pendekatan: desentralistik pada Desa Dinas, di mana kewenangan pemerintah desa bersifat dominan, dan centripetal pada Desa Adat, di mana lembaga adat berperan sentral. Dengan demikian, implementasi Collaborative Governance berbasis Tri Hita Karana di Desa Sayan mampu meningkatkan efektivitas pemerintahan desa sekaligus mendorong pembangunan berkelanjutan.
Co-Authors baso, avryana Gusti Agung Ayu Putri I Wayan Gede Suacana I Wayan Sudana Ni Made Ika Marini Mandenni Setiawan, Ariyono Syamsuri, Ulfa Aulia Wiratama, I Putu Bayu Adhya