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All Journal Jurnal Gamma Jurnal Sain Veteriner MEDIA ELEKTRIKA Paramita: Historical Studies Journal Catharsis JOIV : International Journal on Informatics Visualization Jurnal SOLMA Khadimul Ummah Journal of Social Dedication Journal of Innovation in Business and Economics EDUMATIC: Jurnal Pendidikan Informatika Jurnal Perilaku dan Strategi Bisnis DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Abdi Masyarakat ASSET: Jurnal Manajemen dan Bisnis Jurnal Teknik Informatika (JUTIF) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Prosiding Konferensi Nasional PKM-CSR Jurnal Begawe Teknologi Informasi SainsTech Innovation Journal Jurnal Karya Pengabdian Teknik Mesin Jurnal Kabar Masyarakat JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Pengabdian Kepada Masyarakat (JPKM) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Infact: Jurnal Sains dan Komputer Emitor: Jurnal Teknik Elektro Jurnal Wicara Desa SainsTech Innovation Journal
Heri Wijayanto
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Analisis Pengaruh Motivasi Kerja, Kemampuan Berinovasi, dan Budaya Kerja Terhadap Keberhasilan Usaha Pemuda Mlilir Alfalah, Muhammad Fathi; Wijayanto, Heri; Chamidah, Siti
ASSET: Jurnal Manajemen dan Bisnis Vol. 6 No. 3 (2024): EDISI SEMNAS TAHUN 2023
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/asset.v6i3.10545

Abstract

Riset inivbertujuan buat mengenali pengaruhvmotivasi kerja, keahlian berinovasi, serta budaya kerja terhadap keberhasilan usaha pemuda Mlilir. Metode pengambilan ilustrasi yang digunakan merupakan total sampling, seluruh anggota dari riset ini digunakan selaku ilustrasi peneltian, sehingga seluruh pemuda yangvberjumlah 35 orang yang dijadikan responden. Metode analisisvregresitliniervberganda serta ujivhipotesis dengan tarafvsignifikan 5% ialah metode analisis data yang digunakan pada riset ini. Hasil pengujian membuktikan kalau (1) antara variabel motivasi kerja dengan keberhasilan usaha pemuda ada pengaruh yang positif serta tidaktsignifikan; (2) antara variabel kemampuan berinovasi dengan keberhasilan usaha pemuda ada pengaruh positif serta tidak signifikan; (3) antara variabel budaya kerja dengan keberhasilan usaha ada pengaruh positif serta signifikan. Perihal ini membuktikan kalau budaya kerja pengaruhi secara positifvsertatsignifikanvterhadapvkeberhasilanvusaha pemuda sebaliknya motivasi kerja serta kemampuan berinovasi pengaruhi secara positifvserta tidak signifikanvterhadapvkeberhasilanvusaha pemuda serta variabel yang sangat dominan pengaruhi keberhasilan usaha pemuda merupakan variabel budaya kerja.Kata kunci: Motivasi Kerja, Kemampuan Berinovasi, Budaya Kerja, Keberhasilan Usaha
PENGARUH GAYA KEPEMIMPINAN, BUDAYA ORGANISASI DAN LINGKUNGAN KERJA TERHADAP KINERJA SATLANTAS POLRES PONOROGO Saputri, Meilan Yulia; Wijayanto, Heri; Kristiyana, Naning
ASSET: Jurnal Manajemen dan Bisnis Vol. 6 No. 3 (2024): EDISI SEMNAS TAHUN 2023
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/asset.v6i3.10576

Abstract

Penelitianjini bertujuanjuntuk mengetahuijpengaruh gayajkepemimpinan, budayajorganisasi dan lingkunganjkerja terhadapjkinerja Satlantas Polres Ponorogo secara partial maupun simultan. Populasijdalam penelitian inijadalah anggota kepolisian di Satlantas Polres Ponorogo yang berjumlah 35 orang. Data diambil menggunakan instrumen kuesioner. Pengujian analisis kualitas data menggunakan uji validitas dan uji reliabilitas. Metode analisis data yang digunakan adalah regresi linier berganda. Pengujianjhipotesis menggunakanjuji koefisien regresijsecara persial (uji t), ujijsignifikansi simultanjdan koefisienjdeterminan. Hasiljdari penelitianjini menunjukkan bahwa (1) Gayajkepemimpinan berpengaruhjsignifikan terhadap kinerjajdi SatlantasjPolres Ponorogo; (2) Budayajorganisasi berpengaruhjsignifikan terhadapjkinerja di SatlantasjPolres Ponorogo; (3) Lingkunganjkerja berpengaruhjsignifikan terhadapjkinerja di Satlantas Polres Ponorogo; (4) Gaya kepemimpinan, budayajorganisasi dan lingkunganjkerja berpengaruh signifikanjterhadap kinerjajdi Satlantas Polres Ponorogo. Nilai RjSquare sebesar 0,628jmenunjukkan bahwa ketiga variabeljmemberikan sumbangan pengaruhjsebesar 62,8%jdan sisanya dipengaruhi olehjvariabel lain diluarjpenelitian ini.Kata Kunci: Gaya Kepemimpinan, Budayajorganisasi, Lingkunganjkerja dan Kinerja
Rancang Design UI/UX Website Portofolio pada Perusahaan PT Kresna Karya Menggunakan Figma: Portfolio Design UI/UX at PT Kresna Karya Using Figma Agus, I Made Agus Tresna; Wijayanto, Heri; Widanta, I Putu
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 5 No. 1 (2024): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v5i1.1057

Abstract

UI adalah pengguna antarmuka yang memungkinkan pengguna untuk berinteraksi dengan sistem atau perangkat lunak. Dan UX adalah pengalaman pengguna yang diperoleh dari interaksi dengan suatu produk atau layanan. Dan Portofolio adalah sebuah kumpulan keterangan dari proyek atau sebuah pencapaian yang bisa diimplementasikan pada media apa saja. Pentingnya pembuat design kali ini adalah mengacu pada semakin pesatnya perkembangan teknologi yang dimana jika ingin mencari informasi pada sesuatu bisa hanya dengan melalui internet. Dengan pembuatan UI/UX kali ini perusahaan bisa mempunyai gambaran sebuah website portofolio mereka jika diimplementasikan ke dalam sebuah website. Dengan mencakup informasi penting yang mereka punya yang bisa menunjang kinerja perusahaan mereka yang di mana jika seseorang ingin tahu hasil kinerja atau informasi perusahaan mereka hanya bisa dengan membuka website portofolio yang di mana jika sudah diimplementasikan dari design UI/UX yang sudah dibuat.
PELATIHAN ROBOTIK DAN PEMROGRAMAN BLOK UNTUK MENINGKATKAN MINAT BELAJAR STEM SEJAK DINI: Robotics and Block Programming Training to Enhance Interest in STEM Learning from an Early Age Arimbawa, I Wayan Agus; Wijayanto, Heri; Jatmika, Andy Hidayat; Huwae, Raphael Bianco; Rizky, Dimas Maulana; Witarsana, I Nengah Dwi Putra; Ramadhani, Rizky Insania; Zahrani, Nurul Qalbi
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 5 No. 2 (2024): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v5i2.1239

Abstract

Program pengabdian ini bertujuan untuk meningkatkan minat belajar siswa sekolah dasar dalam bidang STEM (Science, Technology, Engineering, and Mathematics) melalui pelatihan robotik dan pemrograman blok. Mengingat rendahnya pencapaian siswa Indonesia dalam studi internasional seperti TIMSS dan PISA, pendekatan ini diharapkan dapat memberikan solusi inovatif yang mampu memotivasi siswa sejak dini. Metode pengabdian meliputi pelatihan praktis dalam dua modul utama: pengenalan robotik dan pemrograman menggunakan Scratch. Pelatihan ini melibatkan 22 siswa dari SDN Model Mataram, yang dilaksanakan dari 31 Juli 2024 hingga 29 Agustus 2024, dengan frekuensi pertemuan dua kali seminggu selama 60 menit setiap sesi, di bawah bimbingan tim mentor. Hasil kegiatan menunjukkan bahwa 59,1% peserta sangat tertarik dan 31,8% tertarik pada pembelajaran robotik, sementara untuk pemrograman blok, 68,2% merasa sangat menarik dan 31,8% tertarik. Secara keseluruhan, 63,6% peserta sangat tertarik dengan kegiatan, meskipun ada 10% yang merasa tidak tertarik. Dalam kegiatan ekstrakurikuler robotik dan coding, 68,2% peserta sangat tertarik dan 22,7% tertarik. Selain itu, terjadi peningkatan pemahaman siswa dengan kenaikan nilai sebesar 26% dari pre-test ke posttest. Kesimpulannya, pelatihan ini efektif dalam meningkatkan minat dan kompetensi STEM siswa, serta berpotensi menjadi model pembelajaran yang inovatif di tingkat dasar.
Perilaku dan Gambaran Hematologis Beruk (Macaca nemestrina) yang Dipasang Bare metal stent pada Arteri Iliaca Arifianto, Dinar; Wijayanti, Agustina Dwi; Budhi, Setyo; Wijayanto, Heri; Siswomihardjo, Widowati
Jurnal Sain Veteriner Vol 43, No 2 (2025): Agustus
Publisher : Faculty of Veterinary Medicine, Universitas Gadjah Mada bekerjasama dengan PB PDHI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jsv.70940

Abstract

Penyakit kardiovaskuler yang paling banyak diderita oleh masyarakat Indonesia adalah penyakit jantung coroner. Salah satu metode terapi jantung korner adalah dengan pemasangan stent jantung. Saat ini stent jantung yang digunakan oleh kardiolog di Indonesia masih mengandalkan produk impor. Saat ini Universitas Gadjah Mada (UGM) sedang mengembangkan stent dengan desain dan bahan yang telah diteliti sebelumnya yang disebut dengan INA-Stent. Tahap pre-klinis telah dilaksanakan dengan menggunakan hewan beruk (Macaca nemestrina). Pemasangan bare metal stent (tanpa salut obat) telah dipasang pada bulan September tahun 2018. Proses euthanasia dilaksanakan pada bulan September 2021 di ruang kateterisasi Rumah Sakit Hewan pendidikan Prof. Soeparwi Fakultas Kedokteran Hewan (FKH UGM). Sebelum pelaksanaan euthanasia diambil sampel darah sebanyak 1 ml pada tabung ethylene diamine tetra acetic acid (EDTA). Pemeriksaan darah menunjukkan total eritrosit, hemoglobin, PCV, MCV, total leukosit, dan trombosit dalam batas normal. Abnormalitas yang terjadi antara lain limfopenia, monositosis dan hipokromia.
Masterplan Kawasan Wisata dan Edukasi Muhammadiyah Ponorogo berbasis Potensi Lokal untuk Pengembangan Perekonomian Hartono, Sri; Purnomo, Rochmat Aldy; Rachmadia, Rizki; Futaqi, Faruq Ahmad; Sumarsono, Hadi; Wijayanto, Heri; Sritrisniawati, Shella Elly
Jurnal SOLMA Vol. 13 No. 1 (2024)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v13i1.14709

Abstract

The Muhammadiyah Ponorogo Regional Leadership received 1.2 hectares of waqf land located in Plalangan Village, Jenangan, Ponorogo which can be used as a tourism business charity. Limited human resources are an obstacle in the arrangement and use of waqf land and more comprehensive spatial planning is needed involving all stakeholders. This program aims to increase the potential of waqf land to become a Muhammadiyah tourist village based on local potential for economic development. The partners of this program are elements of institutions under the authority of the Muhammadiyah Ponorogo Regional Leadership with 50 participants consisting of economic and business as well as tourism councils and elements of the community around Plalangan, Jenangan, Ponorogo. The method used was to present and create a master plan for the Muhammadiyah Ponorogo Tourism Village. The results of the program show that with the activities carried out, there has been a change from not having the potential of waqf land to become a Muhammadiyah tourist village based on local potential to understanding and having the potential of waqf land to becoming a Muhammadiyah tourist village based on local potential. It can be concluded that there has been an increase in skills among partners regarding the potential of waqf land to become a Muhammadiyah tourist village based on local potential.
Tree-based Filtering in Pulse-Line Intersection Method Outputs for An Outlier-tolerant Data Processing Damarjati, Cahya; Trinanda Putra, Karisma; Wijayanto, Heri; Chen, Hsing-Chung; Nugraha, Toha Ardi
JOIV : International Journal on Informatics Visualization Vol 6, No 1 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1.861

Abstract

Pulse palpation is one of the non-invasive patient observations that identify patient conditions based on the shape of the human pulse. The observations have been practiced by Traditional Chinese Medicine (TCM) practitioners since thousands of years ago. The practitioners measure the patient’s arterial pulses in three points of both patient wrists called chun, guan, and chy, then diagnose based on their knowledge and experience. Pulse-Line Intersection (PLI) method extract features of each pulse from the observed pulse wave sequence. PLI is performed by summing the number of intersections between the artificial line and the pulse wave. The method is proven in differentiating between hesitant with moderate pulse waves. As the method implemented in Clinical Decision Support System (CDSS) related to pulse palpation, some outlier data might emerge and affect the measurement result. Thus, outlier filtering is needed to prevent unnecessary prediction processes by machine learning (ML) models inside CDSS. This study proposed an outlier filtering model using a decision tree algorithm. This concept is designed by analyzing pulse features values and the chance of odd values combination. Then inappropriate values are excepted using several rules. Every pulse feature list that did not pass the filtering rule is categorized as outliers and were not included for further process. The proposed model works more efficiently than ML models dealing with outliers since this procedure is unsupervised learning with a small number of parameters. Overall, the proposed filtering method can be used in pulse measurement applications by eliminating outlier data that might decrease the performance of ML models.
Analyzing Coverage Probability of Reconfigurable Intelligence Surface-aided NOMA Widodo, Agung Mulyo; Wijayanto, Heri; Wijaya, I Gede Pasek Suta; Wisnujati, Andika; Musnansyah, Ahmad
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.2054

Abstract

Along with the explosive growth of wireless communication network users who require large frequency bands and low latency, it is a challenge to create a new wireless communication network beyond 5G. This is because installing a massive 5G network requires a large investment by network providers. For this reason, the authors propose an alternative beyond 5G that has better quality than 5G and a relatively lower investment value than 5G networks. This study aims to analyze the downlink of the cooperative non-orthogonal multiple access (NOMA) network, which is usually used in 5G, combined with the use of a reconfigurable intelligence surface (RIS) antenna with decode and forward relay mechanisms. RIS is processed with a limited number of objects utilizing Rayleigh fading channels. The scenario is created by a user who relays without a direct link for users near the base station and with a direct link for users far from the base station. Under the Nakagami-m fading channel, the authors carefully evaluated the probability of loss for various users as a function of perfect channel statistical information (p-CSI) utilizing simply a single input-output (SISO) system with a finite number of RIS elements. As a key success metric, the efficiency of the proposed RIS-assisted NOMA transmission mechanism is evaluated through numerical data on the outage probability for each user. The modeling outcomes demonstrate that the RIS-aided NOMA network outperforms the traditional NOMA network
A Conversion of Signal to Image Method for Two-Dimension Convolutional Neural Networks Implementation in Power Quality Disturbances Identification Berutu, Sunneng Sandino; Chen, Yeong-Chin; Wijayanto, Heri; Budiati, Haeni
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.1529

Abstract

The power quality is identified and monitored to prevent the worst effects arise on the electrical devices. These effects can be device failure, performance degradation, and replacement of some device parts. The deep convolutional neural networks (DCNNs) method can extract the complexity of image features. This method is adopted for the power quality disruption identification of the model. However, the power quality signal data is a time series. Therefore, this paper proposes an approach for the conversion of a power quality disturbance signal to an image. This research is conducted in several stages for constructing the approach proposed. Firstly, the size of a matrix is determined based on the sampling frequency values and cycle number of the signal. Secondly, a zero-cross algorithm is adopted to specify the number of signal sample points inserted into rows of the matrix. The matrix is then converted into a grayscale image. Furthermore, the resulting images are fed to the two-dimension (2D) CNNs model for the PQDs feature learning process. When the classification model is fit, then the model is tested for power quality data prediction. Finally, the model performance is evaluated by employing the confusion matrix method. The model testing result exhibits that the parameter values such as accuracy, recall, precision, and f1-score achieve at 99.81%, 98.95%, 98.84, and 98.87 %, respectively. In addition, the proposed method's performance is superior to the previous methods. 
Text Classification Using Genetic Programming with Implementation of Map Reduce and Scraping Wedashwara, Wirarama; Irmawati, Budi; Wijayanto, Heri; Arimbawa, I Wayan Agus; Widartha, Vandha Pradwiyasma
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1813

Abstract

Classification of text documents on online media is a big data problem and requires automation. Text classification accuracy can decrease if there are many ambiguous terms between classes. Hadoop Map Reduce is a parallel processing framework for big data that has been widely used for text processing on big data. The study presented text classification using genetic programming by pre-processing text using Hadoop map-reduce and collecting data using web scraping. Genetic programming is used to perform association rule mining (ARM) before text classification to analyze big data patterns. The data used are articles from science-direct with the three keywords. This study aims to perform text classification with ARM-based data pattern analysis and data collection system through web-scraping, pre-processing using map-reduce, and text classification using genetic programming. Through web scraping, data has been collected by reducing duplicates as much as 17718. Map-reduce has tokenized and stopped-word removal with 36639 terms with 5189 unique terms and 31450 common terms. Evaluation of ARM with different amounts of multi-tree data can produce more and longer rules and better support. The multi-tree also produces more specific rules and better ARM performance than a single tree. Text classification evaluation shows that a single tree produces better accuracy (0.7042) than a decision tree (0.6892), and the lowest is a multi-tree(0.6754). The evaluation also shows that the ARM results are not in line with the classification results, where a multi-tree shows the best result (0.3904) from the decision tree (0.3588), and the lowest is a single tree (0.356).
Co-Authors Adi Santoso Afwani, Royana Agus, I Made Agus Tresna Agustina Dwi Wijayanti Ahmad Musnansyah Ahmad Zafrullah Mardiansyah Aiyah Alfalah*, Muhammad Fathi Alfalah, Muhammad Fathi Alip Sugianto Alip Sugianto, Alip Aliyah Aliyah anggi arsanda zafira rahma Ardi, Komala Khairani Ari Hernawan Arief Sulistiyono Arifianto, Dinar Arya Kusumawardana Ashrisnaini, Yudhia Axiosa Nalendra Haidar Putra Baiq Rohiyatun Bimantari, Joselina Rizki Budi Irmawati Budiman Wijaya Cahya Damarjati Chamidah, Siti Chen, Hsing-Chung Chen, Yeong-Chin Deni Saputra Dewi Intan Kurnia Djuwitaningsih, Ekapti Wahjuni Eka Dwi Nurcahya, Eka Dwi Ellysabeth Usmiatiningsih Fadlurrahman, Firgi Febriyansyah, Benny Fitriani Fitriani Futaqi, Faruq Ahmad Garnika, Eneng Hadi Sumarsono Haeni Budiati Hardyansah, Fitrah Huwae, Raphael Bianco I B K Widiartha I Gede Pasek Suta Wijaya I Wayan Agus Arimbawa, I Wayan Agus Ida Ayu Devian Branitasandhini Putra Ida Bagus K Widiartha Irma Putri Rahayu Jasmine Nabila Ayoedya Jatmika, Andy Hidayat Jatmika, Andy Hidayat Khairani Ardi, Komala Kuska, Dila Ayu Ramanda Latifah, Nur Izza Luthfiyyah Az Zahro Ma'we, Hannatul Maharani, Sisilia Nabilla Mahendra Putra Raharja Mardiansyah, Ahmad Zafrullah Moh. Ali Wisudawan Prakara Moh. Ali Wisudawan Prakarsa S Muh. Ibnan Syarif, Muh. Ibnan Muhammad Ari Rifqi Nabilla Maharani, Sisilia Naning Kristiyana, Naning Noor Alamsyah Octariana, Ghina Briliana Fatin Praseba, Diki Purnomo, Rochmat Aldy Putra, I Gede Darmawan Adi Pratama Rachmadia, Rizki Rahman, Pradita Dwi Ramadhani, Rizky Insania Rayani, Dewi Reyhan Adiba, Rahmat Rhesma Intan Vidyastari Rian Maulidani, Ahmad Rido, Rido Kurnianto Riyanto, Didik Rizky, Dimas Maulana Rizqika Aprilia Rohmayani, Laeli Rosika, Herliana Santi Ika Murpratiwi Saputri, Meilan Yulia Satrio Prakoso Setyo Budhi Sideman, Ida SRI ANGGRAINI Sri Hartono, Sri Sritrisniawati, Shella Elly Sunarto Sunarto Sunneng Sandino Berutu Suparjo Tajul Ma’arif, Muh Tia Apriani Putri Titi Rapini, Titi Toha Ardi Nugraha Trinanda Putra, Karisma Tulus Haryono, Tulus Utami, Wiwid Vandha Pradwiyasma Widartha Wedashwara, Wirarama Wesdawara, Wirarama Widanta, I Putu Widia Lingga, Elza Widodo, Agung Mulyo Widowati Siswomihardjo Widya Oktary Setiawardhani Widyani, Aprilian Widyani, Aprillian Winardi, Yoyok Wirarama Wedashwara Wirawan, I Gde Putu Wirarama Wedashwara Wisnujati, Andika Witarsana, I Nengah Dwi Putra Zahra, Dinda Zahrani, Nurul Qalbi Zubaidi, Ariyan