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Penguatan UMKM Kesenian melalui Digitalisasi Penyewaan Baju Adat Berbasis CodeIgniter di Sanggar Riak Renteng Tingang Agung Prabowo; Diki Hidayat; Norhayati; Windiarti, Ika Safitri
Abdimas: Papua Journal of Community Service Vol. 7 No. 1 (2025): Januari
Publisher : LP3M Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/pjcs.v7i1.4036

Abstract

Strengthening traditional art MSMEs through digitalization is a strategic effort to enhance operational efficiency and competitiveness. Sanggar Riak Renteng Tingang, engaged in traditional costume rental in Central Kalimantan, faces various challenges due to manual processes, such as recording errors, difficulties in stock tracking, and inefficiencies in customer data management. Through this community service initiative, a web-based rental information system was developed using the CodeIgniter framework with the waterfall development method and PIECES analysis. The development stages included needs analysis, system design, implementation, testing, and user training. As a result, the system provides features such as stock management, online booking, and integrated customer data recording, improving accuracy, efficiency, and operational transparency. This digitalization simplifies rental management, enhances customer satisfaction, and supports the sustainability of Sanggar Riak Renteng Tingang’s business. The developed system not only addresses operational challenges but also serves as a model for empowering other art MSMEs to adapt to the digital era. With this implementation, Sanggar Riak Renteng Tingang can become more competitive and contribute to the preservation of local culture through technological optimization.
PENGARUH KUALITAS FILM, DAYA TARIK, CELEBRITY ENDORSEMENT, DAN LOKASI TERHADAP KEPUTUSAN MENONTON DI BIOSKOP YOGYAKARTA Prabowo, Agung; Wisnalmawati, Wisnalmawati
JURNAL MUHAMMADIYAH MANAJEMEN BISNIS Vol 5, No 2 (2024): Jurnal Muhammadiyah Manajemen Bisnis (JMMB)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jmmb.5.2.120-133

Abstract

Keywords:Film Quality, Appeal, Celebrity Endorsement, Location, Viewing Decision           Kata Kunci:Kualitas Film, Daya Tarik, Celebirty Endorsement, Lokasi, Keputusan Menonton  ABSTRACTThis study aims to analyze the influence of Film Quality, Attraction, Celebrity Endorsement, and Location on the Decision to Watch in Yogyakarta Cinemas. The research method used in this study is a quantitative method. The population in this study were students who had watched films in Yogyakarta cinemas. The data collection method in this study used an online questionnaire. The sampling method used was purposive sampling. The number of samples taken in this study was 110 respondents. The analysis tool used was a descriptive and quantitative method using multiple linear regression analysis with the help of the SPSS program. The results of this study indicate that: 1) Film Quality, Attraction, Celebrity Endorsement, and Location simultaneously influence the Decision to Watch in Yogyakarta Cinemas 2) Film Quality has a positive and insignificant effect on the Decision to Watch, 3) Attraction has a positive and significant effect on the Decision to Watch 4) Celebrity Endorsement has a positive and significant effect on the Decision to Watch, 5) Location has a positive and significant effect on the Decision to Watch in Cinemas, Theoretically, the contribution supports the previous research model. The practical contribution is location ABSTRAKPenelitian ini bertujuan untuk menganalisis pengaruh Kualitas Film, Daya Tarik, Celebrity Endorsement, Dan Lokasi Terhadap Keputusan Menonton Di Bioskop Yogyakarta. Metode penelitian yang digunakan dalam penelitian ini adalah metode kuantitatif. Populasi dalam penelitian ini adalah mahasiswa yang pernah menonton film di bioskop Yogyakarta. Metode pengumpulan data di dalam penelitian ini menggunakan kuesioner online. Metode pengambilan sampel yang digunakan adalah purposive sampling. Jumlah sampel yang diambil dalam penelitian ini sebanyak 110 responden. Alat analisis yang digunakan adalah metode deskriptif dan kuantitatif dengan menggunakan analisis regresi linier berganda dengan bantuan program SPSS. Hasil penelitian ini menunjukkan bahwa: 1) Kualitas Film, Daya Tarik, Celebrity Endorsement, Dan Lokasi secara simultan berpengaruh terhadap Keputusan Menonton di Bioskop Yogyakarta 2) Kualitas Film berpengaruh positif dan tidak  signifikan terhadap Keputusan Menonton, 3) Daya Tarik berpengaruh positif dan signifikan terhadap Keputusan Menonton 4) Celebrity Endorsement berpengaruh positif dan signifikan terhadap Keputusan Menonton, 5) Lokasi berpengaruh positif dan signifikan terhadap Keputusan Menonton di Bioskop, Kontibusi teoritis mendukung model penelitian sebelumnya. Kontribusi praktis  yaitu lokasi.
Sentiment Analysis of Maxim App User Reviews in Indonesia Using Machine Learning Model Performance Comparison Saefullah, Rifki; Yohandoko, Setyo Luthfi Okta; Prabowo, Agung
International Journal of Quantitative Research and Modeling Vol 5, No 3 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i3.762

Abstract

User reviews can vary widely in language and writing style, which can make accurate sentiment modeling difficult. Selecting the right machine learning model and comparing performance between models can be challenging, given that each model has its own strengths and weaknesses. The method used involved data collection by scraping 5000 reviews from the Google Play Store, followed by data pre-processing including data cleaning, tokenization, stemming, and feature engineering using TF-IDF. The data was divided into training (70%) and testing (30%) sets, with the SMOTE oversampling technique applied to address class imbalance. Three machine learning models were used: Random Forest, Support Vector Machine (SVM), and Naive Bayes. The results showed that the majority of reviews were positive, with a high average app rating. Word cloud analysis revealed that “service”, “driver”, “price”, and “time” were the most frequently discussed aspects in the reviews. In terms of model performance, SVM performed the best with an accuracy of 91.3%, followed by Random Forest (89%) and Naive Bayes (78%). Maxim was generally well received by users in Indonesia, with the majority of reviews being positive. The SVM model proved to be the most effective in classifying review sentiment, outperforming other models in accuracy and precision.
Determining The Optimal Portfolio Markowitz Model on Moving Stock Prices Using Brown Motion Geometry Suhariman, Fikrianto; Prabowo, Agung; Wardayani, Ari
Operations Research: International Conference Series Vol. 4 No. 3 (2023): Operations Research International Conference Series (ORICS), September 2023
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v4i3.253

Abstract

Stock price movements that fluctuate and follow a stochastic process will make it difficult for investors to start investing. For that, we need a stochastic mathematical model. The Brownian geometry motion model is one of the stochastic models that can be used to display the condition of a stock's price movement. Investment is related to the rate of return (return) and the risk obtained. The higher the rate of return obtained, the higher the risk obtained. Therefore, a portfolio calculation is needed, one of which is using the Markowitz model. The Markowitz model can be used to determine the optimal portfolio. The purpose of this study is to model stock prices and form an optimal portfolio. The stock price data used are BBRI, TLKM, and ADRO for the period from 1 July 2021 to 31 August 2022. The results obtained from this study are that there are three portfolio preferences. If investors like high risk to get high returns, then the combined allocation of funds for BBRI, TLKM and ADRO shares is 10.51%, 42.05% and 47.44% respectively. If investors do not like high risk but still want to get a return that is balanced with risk, then the combination of fund allocation for shares of BBRI, TLKM and ADRO is 22.62%, 46.63% and 30.75%, respectively. If the investor chooses minimum risk, the combined allocation of BBRI, TLKM and ADRO shares is 34.73%, 51.21% and 14.06%, respectively.
Effect of Temperature on the Growth Rate of Carbon Nanotubes (CNTs) using Electrodeposition Method Prabowo, Agung; Andoko, Andoko; Suryanto, Heru; Prasetya, Riduwan
TRANSMISI Vol. 20 No. 2 (2024): September (2024)
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmt.v20i2.13673

Abstract

Electrodeposition is one of the carbon capture methods used to produce carbon nanotubes with temperature as one of the variable. The research aims to analyze the effect of temperature on the growth rate of carbon nanotubes of 723oC, 750oC, 800oC, 850oC and 900oC using X-Ray Diffraction (XRD) testing. Analyzing deposit morphology at the same temperature using Scanning Electron Microscope (SEM) testing. The results of research show that the most optimal growth rate for carbon nanotubes occurred at 750oC of 7,949 g cm-2 hours-1. At a temperature of 750oC, carbon deposits are easier than at 723oC because that’s the melting point of lithium carbonate and has not completely decomposed. The XRD test show that at 750oC is the highest peak at 2θ= 26.21o. The SEM test show that the optimal morphological structure formed occurs at a temperature variation of 750oC with a fibrous morphology and little impurity at the ends. The results of the CNT percentage using the Material Analysis Using Diffraction (MAUD) method show that the largest quantitative value of the CNT percentage occurs at a temperature of 800oC of 4.08%.
Indonesian Student Research Olympiad for SMA N 1 Mirit Students Prabowo, Agung; Chandra, Novita Eka; Juliza, Melda; Arumingtyas, Felinda
Shof Journal of Social Impact Vol. 1 No. 3 (2024): December
Publisher : Shof Literacy Community

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

Abstract

Olimpiade Penelitian Siswa Indonesia (OPSI) is a prestigious event that provides opportunities for students to develop research and innovation skills. This community service activity aims to guide and prepare students of SMA N 1 Mirit in facing OPSI. The benefits obtained by students after carrying out this activity are being able to master the material and being able to carry out research. The methods used in the guidance activities are the presentation of research methods, strategies, discussions and questions and answers. The results of the guidance activities are the level of student understanding in research methods of 75%, and the level of student interest of 80%.
Pendampingan Komunikasi Pemasaran Terpadu Berbasis Digital Storytelling Pada Kelompok Pengrajin Batik Nitik Blawong Bantul Prabowo, Agung; Simanjuntak, Oliver Samuel; Wiendijarti, Ida; Utami, Yenni Sri; Kusumo, Yudhy Widya
IKRA-ITH ABDIMAS Vol. 8 No. 3 (2024): Jurnal IKRAITH-ABDIMAS Vol 8 No 3 November 2024
Publisher : Universitas Persada Indonesia YAI

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

Abstract

Batik Nitik Blawong adalah salah satu produk batik tulis yang memiliki tradisi turuntemurundi Desa Blawong, Bantul, Yogyakarta. Namun, industri UMKM inimenghadapi tantangan dalam pemasaran dan inovasi produk, terutama dalampemanfaatan teknologi informasi dan pembuatan konten digital. Melalui ProgramKemitraan Masyarakat (PKM), tim pelaksana berusaha memberikan solusi melaluipelatihan dan pendampingan dalam produksi konten multimedia, digital storytelling,serta manajemen pemasaran digital. Program ini diharapkan dapat meningkatkankualitas dan daya saing Batik Nitik Blawong di pasar yang lebih luas, meningkatkanloyalitas konsumen, serta memastikan keberlanjutan usaha melalui penerapanteknologi terkini dan strategi komunikasi yang efektif. Evaluasi program dilakukanuntuk menilai keberhasilan dan dampak program terhadap mitra, dengan fokus padapeningkatan keterampilan teknis dan manajerial para pengrajin Batik Nitik Blawong.
Pendampingan Transformasi Digital Kelompok UMKM Jamu Gendhong "Mitra Sehat" Desa Kiringan, Kecamatan Jetis, Kabupaten Bantul Yogyakarta Cahyana, Nur Heri; Kusumo, Yudhy Widya; Indah, Sika Nur; Simanjuntak, Oliver Samuel; Prabowo, Agung; Utami, Yenni Sri
IKRA-ITH ABDIMAS Vol. 8 No. 3 (2024): Jurnal IKRAITH-ABDIMAS Vol 8 No 3 November 2024
Publisher : Universitas Persada Indonesia YAI

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

Abstract

UMKM Jamu Gendhong "Mitra Sehat" didirikan pada tahun 1998 oleh Pak Sutrisno diDusun Kiringan, Bantul. UMKM ini dikenal sebagai pelopor produksi jamu tradisionaldengan komitmen terhadap kualitas dan keaslian bahan. Beberapa produk utama yangditawarkan adalah jamu instan, selai jamu, wedang jahe merah sachet, dan jamu jamurlingzhi. Namun, tantangan signifikan dihadapi terkait digitalisasi pemasaran danperubahan tren pasar ke arah online. Permasalahan utama meliputi kurangnya promosidigital yang efektif, komunikasi pemasaran yang lemah, serta manajemen usaha yangmasih konvensional. Untuk mengatasi hal ini, diusulkan berbagai solusi, termasukpelatihan produksi konten digital, teknik copywriting, manajemen pemasaran digital,dan penyusunan SOP komunikasi organisasi. Program Kemitraan Masyarakat (PKM)bertujuan untuk memperkuat kemampuan multimedia dan pemasaran digital UMKM"Mitra Sehat", termasuk pengembangan website dan marketplace. Pendekatan dilakukanmelalui pelatihan dan pendampingan kepada pengurus dan anggota UMKM untukmeningkatkan kualitas produksi, pemasaran, dan branding. Program ini diharapkanmampu mengatasi tantangan pasar modern dan memastikan kelangsungan usaha jamutradisional. Evaluasi program akan dilakukan melalui observasi, kuisioner, danwawancara untuk mengukur keberhasilan serta kesinambungan program pascapelaksanaan. Program ini diharapkan dapat memperkuat posisi UMKM "Mitra Sehat" dipasar yang semakin kompetitif melalui penerapan teknologi dan pemasaran digital yanglebih modern.
PENENTUAN TARIF PREMI PADA ASURANSI KENDARAAN DENGAN BESAR KLAIM BERDISTRIBUSI EKSPONENSIAL DAN GAMMA Prabowo, Agung; Sulthan Izbik Riska Alfaridzi
Premium Insurance Business Journal Vol. 10 No. 1 (2023): PREMIUM INSURANCE BUSINESS JOURNAL
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat Sekolah Tinggi Manajemen Asuransi Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35904/premium.v10i1.46

Abstract

Calculation of vehicle insurance premium rates can be done using the aggregate claims model. The aggregate claims model consists of a combination of two independent random variables, namely the number of claims that occur and the amount of claims for each event. The research method is in the form of literature studies and case studies using secondary data in the form of data on the number of claims and the amount of claims collected from January 2013 to December 2019. Based on the data collected, there were 802 claims with the smallest claim being IDR 50,000 and the largest being IDR 211,715,000. Testing the hypothesis shows that the data on the number of claims has a Poisson distribution, and the amount of claims follows two types of distribution, namely the exponential and gamma distribution so that the aggregate claim distribution is a combination of Poisson-Exponential and Poisson-Gamma. Parameter estimation for each distribution is carried out by the moment method with available secondary data. This study concludes that the use of the pure premium principle provides the same premium rate for both distributions of aggregate claims, amounting to IDR 82,856.39 per month per person. While the use of the expected value principle provides a premium rate for the Poisson-Gamma aggregate claims distribution 8.76 times greater than the Poisson- Exponential aggregate claims distribution, namely IDR 1,920,019.55 per month and IDR 219,155.20 per month, respectively.
Penyuluhan Cara Meneliti dan Menulis Hasil Penelitian Bidang Matematika Bagi Guru-Guru MGMP Matematika SMP Kabupaten Banyumas Agung Prabowo; Agus Sugandha; Mashuri Mashuri; Suroto Suroto; Sehah Sehah; Bambang Hendriya Guswantoro
ULIL ALBAB : Jurnal Ilmiah Multidisiplin Vol. 2 No. 9: Agustus 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jim.v2i9.2119

Abstract

Kemampuan meneliti perlu dibudayakan pada komunitas pendidik karena tuntutan jaman adalah seorang pendidik (guru, widya-iswara, dosen) adalah sekaligus peneliti. Peningkatan kualitas profil riset para guru dilakukan salah satunya dengan menggunakan riset literatur. Riset literatur dijalankan dengan studi pustaka terbaru, khususnya kajian terhadap artikel-artikel yang terbit pada jurnal atau prosiding seminar nasional atau internasional dalam lima tahun terakhir. Hasil dari riset literatur adalah diperolehnya pengetahuan yang lebih baru sebagai bentuk kontribusi periset dalam bidangnya. Untuk menanamkan kemampuan melakukan riset, dapat didahului dengan pemberian materi tentang bagaimana melakukan riset literatur, menulis hasil risetnya sendiri dan mempublikasikan hasil risetnya. Tujuan pengabdian ini adalah (1) memberdayakan peserta pengabdian sehingga memiliki pengetahuan tentang melakukan riset literatur, (2) mengenalkan strategi menulis artikel ilmiah hasil riset literatur yang dilakukan sendiri oleh mitra guru, dan (3) mengenalkan cara melakukan publikasi artikel ilmiah pada jurnal ber-ISSN. Untuk mengukur keberhasilan penelitian ini diberikan kuesioner. Dari jawaban yang terkumpul 82% audiens menjawab dengan bernar. Jawaban yang benar tidak tunggal karena terdapat langkah-langkah yang bisa dipertukarkan.
Co-Authors ., Rusliyawati A.A. Ketut Agung Cahyawan W Abd. Rasyid Syamsuri Abdul Halim, Nurfadhlina Abdul Muis Abdul Muis ABDUL MUIS Abdul Syukur Achmad Ridwan Achmad Ridwan, Achmad adi surya antara, adi surya Adiati, Ani Aglia, Arla Agus Sugandha Agustini Tripena Br Surbakti Ahmad Fadli Akbar Idaman Al-Ghifari, Muhammad Aziz Abdullah Amal, Moh Alfi Amar Luthfi Amitarwati , Diah Paramita Amitarwati, Diah Paramita Amrullah Andini, Kiki Andini Andoko Andoko, Andoko Andriawan, Deden Andryani Handrayani Putri Angelica Sitanggang, Tiffany Maria Arditianto, Yanuar Ari Purwanti Ari Wardayani, Ari Arif Wibawa Arrosyid, Muhammad Daffa Arumingtyas, Felinda Arumningtyas, Felinda Azahra, Astrid Sulistya bin Mamat, Mustafa binti Abdullah Suhaimi, Nurnisaa Bukit, Dimas Dimanta Candra candra Choirunisa, Erika Nurul Chun wang Dei Alibazah, Terra Delima Sitanggang, Delima Dharma Ajie Nur Rois Diki Hidayat Duran, Filbert Dwi Abadi, Medi Trilaksono Eldo, Handry Elisa, Syifa Fadlilah, Fajar Nur Fahreza, Muhammad Naufal Firdaus, Muhammad Ilham Gea, Radiman Ginting, Riski Titian Govandy Gurning, Rosintan Guswanto, Bambang Hendriya Halawa, Hendi Jaya Hamisu Kankarofi, Rabiu Hamka, Achmad Chaerul Handry Eldo Haryadi - Hati, Primanda Berlian Hendriva Guswanto, Bambang Henry Chandra Herol, Herol Heru Suryanto HS, Christnatalis Hulu, Yakin Rianto Hutasoit, Feliks Daniel I Wayan Arsa Suteja Ida Wiendijarti Idha Sihwaningrum Ika Safitri Windiarti Immanuel Sinaga, Ferdy Indah, Sika Nur Indra Surjati Irman, Dede Istikanaah, Najmah Itsnaini, Nurul Janna, Nur Jorgi L.Tobing, Stefanus Juliza, Melda kalfin Kalfin Kamal Prohandani Karpriana, Angga Permadi Ketaren, Faisal Haries Khairunisyah, Sevia Tri Kireina, Michiko Komalasari Komalasari Kusumo, Yudhy Widya Lianingsih, Nestia Mala Nurilmala Manday, Dhanny Rukmana Marsanda, Mareta Mashuri Mashuri Mawaddah Harahap, Mawaddah Meilia Wulansari Mendrofa, Fide Moses Monica Dwi Kusumaningsih Mufidah, Afifah Muhamad Awiet Wiedanto Prasetyo Muhammad Haris Qamaruzzaman Muhammad Rizki Muhsin Muhsin Mukarromah, Zulfatul Muliady, Jefry Muntafi’ah, Naailah Muzakki, Muhammad Sulthan Naibaho, Sona Halomoan Nazira, Aisy Azra Norhalisa, Siti Norhayati Novia Novita Eka Chandra, Novita Eka Nur Amel Fitriyan Nur Heri Cahyana Nur Jannah Nurnisaa Binti Abdullah Suhaimi Nuroso, Dwiyani Larasati Putri Oliver Samuel Simanjuntak Pakuan, Gani Muhammad Pasaribu, Tessa Vena Melinda Perangin Angin, Despaleri Pirdaus, Dede Irman Pramesty, Elya Arum Prasetya, Riduwan Pratama, Anugrah Robby PUJI LESTARI Purba, Rian Elby Putri, Cici Ramadhan, Abil Retno Hendariningrum Rini Cahyandari Rini Wahyu Sayekti Rita Sari Riyanto Haribowo Ryan Rinaldi Hadistio Saefullah, Rifki Saputra, Jumadil Sari, Fitra Bona Sehah Sehah Sembiring, Icha Dwi Putri Br Shihah, Hanna Dzawish Sidi, Pramono Sidiq, Fahmi Simbolon, Marco Duran Sinaga, Alfrendo Sinaga, Bram Dimpos Fajar Sinarpaska, Stefany Mahatma Siregar, Saut Dohot Soemitro Padmowijoto Suhaimi, Nurnisaa binti Abdullah Suhariman, Fikrianto Sukono . Sulthan Izbik Riska Alfaridzi Sunoko , Ray Aksan Suratno Suratno Suroto suroto Suroto Suroto Suroto Suroto Syamsul Arifin Tambunan, Fiktor Januari Tar Muhammad Raja Gunung Tarigan, Nathanael Atan Baskita Tarigan, Perwira Togar Timoteus Gultom Tri Ayu Mulyani Triandi Triandi Tripena, Agustina Uswatun Chasanah Velicia, Lorraine Putri Vimelia, Willen Wahyuni, Nur Maulida Wahyuni, Olivia Nindi WARDANI, SUMITA Wijaya, Frederico Wilbert Solo, Eddrick Wisnalmawati Wisnalmawati Yakubu, Usman Abbas Yansyah, Deli Yasmin, Arla Aglia Yaza Azzahara Ulyana Yenni Sri Utami Yenni Sri Utami, Yenni Sri Yennimar, Yennimar Yhenis Apriliana Yohana Vivit Yohandoko, Setyo Yohandoko, Setyo Luthfi Okta Yuningsih, Siti Hadiaty Zaenal Bachruddin Zahra, Alika Zinedine Amalia Noor Mauludy Reihan Zulfahmi, Muhammad Hafidz