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All Journal Jurnal Pendidikan Fisika FKIP UM Metro JAIS (Journal of Applied Intelligent System) ANDHARUPA Phenomenon : Jurnal Pendidikan MIPA Jurnal Ilmiah Teknik Mesin QUANTUM: Jurnal Inovasi Pendidikan Sains PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika JIPF (Jurnal Ilmu Pendidikan Fisika) Acta Aquatica: Aquatic Sciences Journal Turbo : Jurnal Program Studi Teknik Mesin Jusikom : Jurnal Sistem Komputer Musirawas Applied Industrial Engineering Journal Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika) PROSIDING SEMINAR NASIONAL PROGRAM PASCASARJANA Jurnal Pendidikan Fisika dan Teknologi Parole (Jurnal Pendidikan Bahasa dan Sastra Indonesia) M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika JPPS (Jurnal Penelitian Pendidikan Sains) Jurnal Metaedukasi : Jurnal Ilmiah Pendidikan Journal of Energy and Electrical Engineering (JEEE) Abdimasku : Jurnal Pengabdian Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Physics Communication Cakrawala Repositori Imwi Jurnal Health Sains Edu Masda Journal Industrika : Jurnal Ilmiah Teknik Industri Pendagogia: Jurnal Pendidikan Dasar International Journal of Economy, Education and Entrepreneurship (IJE3) SCIENCE : Jurnal Inovasi Pendidikan Matematika dan IPA Pillar of Physics Education : Jurnal Berkala Ilmiah Pendidikan Fisika ARMATUR : Artikel Teknik Mesin dan Manufaktur Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Share: Jurnal Ekonomi dan Keuangan Islam Jurnal Interkom : Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi Jurnal Teknologi Sistem Informasi Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Locus Penelitian dan Pengabdian Makara Journal of Science Pharmaceutical Science Journal Gotong Royong Edusiana: Jurnal Ilmu Pendidikan

Aripin

Universitas Dian Nuswantoro

Author-ID : 451720

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Pemetaan Emosi Dominan pada Kalimat Majemuk Bahasa Indonesia Menggunakan Multinomial Naïve Bayes Wisnu Agastya; Aripin
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 2: Mei 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

This study aimed at mapping Indonesian sentences into emotion classes based on the classification process in those sentences. The results of emotion mapping can be applied in various fields, such as production of animated films and games, analysis of facial expressions, human-computer interactions, and development of other expressive virtual characters, specifically to produce facial expressions that match the spoken sentences. The method used for the emotion mapping process was the text classification using multinomial naïve Bayes model that was accompanied by dominant boundary equation. Multinomial naïve Bayes model in the text classification is used to determine the types and the emotional intensity of Indonesian sentences, whereas dominant boundary equation iss used to determine the threshold in order to identify the dominant classes. The emotion classes used as references are six basic emotion classes according to Paul Ekman, i.e., happiness, sadness, anger, fear, disgust, and surprise. The experiment on the process of mapping emotions used Indonesian single and compound sentences. The experimental results show that the text classification using multinomial naïve Bayes model accompanied by dominant boundary equation can map compound sentences into several classes of dominant emotions.

Ekstraksi Emosi Majemuk Kalimat Bahasa Indonesia Menggunakan Convolutional Neural Network Aripin; Wisnu Agastya; Hanny Haryanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 2: Mei 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Facial expressions can strengthen the information conveyed in interactive communication. In the field of developing virtual characters specifically for facial characters, facial expressions are needed to animate a facial virtual character to make it look natural like a human. One type of emotional expression is a compound emotional expression, which is a combination of two or more basic emotions. For example, the expression of disappointed emotions is a combination of anger and sadness. Facial expressions can appear due to emotional stimulation, one of which is the meaning of the sentence. This research aims to extract emotional data from Indonesian sentences using the multi-label classification process of the CNN model so as to produce compound facial expressions that are applied in virtual character animation. The basic emotion classes used in the classification process are anger, disgust, fear, happiness, sadness, and surprise. Based on the experimental results, the CNN model can produce an accuracy of 94.5% with the composition of training data and test data is 8: 2. The classification process result shows that each sentence can produce more than one basic emotion class that forms compound expressions. The results of the visualization of compound expressions for each sentence can represent compound expressions.

Pengembangan, Penyuluhan dan Hibah Tangan Prostetik Bagi Anak-Anak Penyandang Disabilitas Tuna Daksa di YPAC Kota Semarang Aripin Aripin; Dedi Nurcipto; Menik Dwi Kurniatie; Dita Ayu Mayasari; Vincent Suhartono; Ihtifazhuddin Hawari
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 1 (2023): Januari 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/ja.v6i1.887

Salah satu permasalahan yang masih dihadapi oleh pemerintah Kota Semarang adalah tingginya warga penyandang Tuna Daksa. Berdasarkan data Penyandang Masalah Kesejahteraan Sosial (PMKS) Dinas Sosial Kota Semarang, bahwa jumlah penyandang disabilitas untuk jenis tuna daksa adalah 1.758 jiwa. Menurut Wali Kota Semarang Hendrar Prihadi, masih banyak warga penyandang tuna daksa khususnya anak-anak di YPAC Kota Semarang yang memerlukan alat bantu tangan prostetik agar anak-anak dapat beraktifitas dengan normal. Kegiatan pengabdian kepada masyarakat ini bertujuan membantu anak-anak di YPAC Kota Semarang untuk memperoleh tangan prostetik sesuai dengan kebutuhan mereka yang diiringi dengan kegiatan penyuluhan dan pendampingan sehingga bantuan yang diberikan dapat dimanfaatkan secara optimal. Tahapan dalam kegiatan pengabdian kepada masyarakat ini, terdiri dari 1) Koordinasi dengan yayasan dan pengurus YPAC Kota Semarang, 2) Pendataan anak tuna daksa di YPAC Kota Semarang, 3) Perekaman bentuk dan ukuran tangan anak tuna daksa, 4) Proses desain tangan prostetik, 5) Proses Produksi, 6) Penyusunan buku manual penggunaan dan pemeliharaan tangan prostetik, dan 7) Penyuluhan dan pendampingan, serta hibah tangan prostetik kepada anak tuna daksa. Kegiatan pengabdian kepada masyarakat ini sangat penting untuk membantu anak tuna daksa di YPAC Kota Semarang sehingga dapat beraktifitas sehari-hari secara normal untuk meningkatkan prestasi belajarnya.

Mengoptimalkan Akurasi pada Klasifikasi Emosi Majemuk Berdasarkan Semantik Kalimat Menggunakan XLM-RoBERTa Aripin; Steven Adi Santoso; Hanny Haryanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 1: Februari 2023
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v12i1.6084

There are six basic emotions; they are anger, sadness, happiness, disgust, surprise, and fear. A combination of basic emotions creates a new type of emotion called a compound emotion. The examples of applying these compound emotions are in chatbots, translations, and text summarization. Several research on classifying these emotions based on Indonesian texts have used traditional models such as multinomial naïve Bayes, support vector machine (SVM), k-nearest neighborhood, and term frequency–inverse document frequency (TF-IDF). The previous research have a massive drawback, primarily on their less optimized performances. The models used could only classify things with the available data; thus, the text processing is required that results in a longer training time for larger This research aims to solve the issue from the previous research by using cross-lingual language model-robustly optimized bidirectional encoder representations from transformers approach (XLM-RoBERTa) model to classify compound emotions based on the semantics or meaning in words and sentences. The XLM-RoBERTa is a transformer model that can identify the meaning of a word from its attention mechanism and represent it as a vector to know the usage and position in a sentence. It is also a method to understand the meaning of a specific word. Using the attention mechanism, the model used the word position to recognize the sentence pattern and classify them even further to know the pattern and sequence to understand the semantics. The experiment result showed that the model could classify Indonesian texts into basic and compound emotion classes with an accuracy of up to 95.56%. This result is much higher than using traditional models to classify the compound emotion classes.

Optimasi Klasifikasi Fonem Menggunakan Backpropagation Neural Network dan Principal Component Analysis Clara Maria Livia Suitela; Aripin; Erika Dina Permata; Muzalfa Nakiatun Niza; Naeli Laelal Khiaroh
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 1: Februari 2023
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v12i1.5674

A phoneme is the smallest sound in a sentence that has no meaning but plays the most important role in meaning formation. Phoneme identification from a video that shows an actor speaking Indonesian sentences is an important part of developing visual-to-text applications. This application can translate mouth movements from a video into a series of Indonesian texts so that it can facilitate communication for the deaf. This study aims to optimize the performance of the classification process on image data, including as many as 32 phonemes from video extraction results so that they can be used to support the phoneme identification process to realize visual-to-text applications in Indonesian. The classification algorithm used in this study was neural network backpropagation. Some of the proposed efforts to optimize the performance of the classification process included using a comparison of the proportion of datasets, estimating the number of hidden layers, and reducing the dimensions of the dataset using the principal component analysis (PCA) method to reduce the amount of data that is considered less important without reducing the level of information. The dimensions of the data before reduction were 1280 × 7100 data matrices and 1280 × 50 data matrices after reduction. The accuracy results obtained in data optimization using the PCA were equal to 87.16% with a data proportion of 8 : 2 and fifty important data points were used in the data optimization process using the PCA.

REFLECTION INFLUENCE ON OUTPUT FREQUENCY SPECTRUM AT SUBMILLIMETER FREQUENCY TUNABLE GYROTRONS Aripin, Aripin; Kurniawan, B.
Makara Journal of Science Vol. 6, No. 3
Publisher : UI Scholars Hub

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Influence of output window reflections on oscillatory processes in gyrotrons has been studied. The processes in a gyrotron have been modeled numerically, and enhancement of the spectrum signal in the presence of reflections has been studied. Dependencies of output power versus time and frequency spectrum for different value of reflection coefficient are given. Possibilities of significant increasing of output spectrum are demonstrated experimentally. The results demonstrate significant influence of reflections on operation stability and composition of the output radiation of the gyrotron.

SUSCEPTIBILITY MAGNETIC AND HIGH MAGNETIC FIELD ESR MEASUREMENT OF SrCu2 (PO4 )2 Aripin, Aripin; Mitsudo, Mitsudo; Idehara, T.; Mekata, M
Makara Journal of Science Vol. 11, No. 2
Publisher : UI Scholars Hub

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The magnetic susceptibility and high magnetic ESR measurement of SrCu2 (PO4 )2 has been performed at temperatures ranging from 4.2 K to 300 K and 4.2 K to 77 K, respectively. The magnetic susceptibility shows a broad maximum around T = 40 K. The magnetic susceptibility has been interpreted in terms of one-dimensional magnetic systems. The temperature dependence of the magnetic susceptibility indicated a good agreement with 4-spin alternating configuration model. In the ESR measurement, clear electron spin resonance (ESR) was observed. The integrated intensity for 120 and 301 GHz has a broad maximum at around 40 K, which is consistent with the susceptibility result. A quantitative description gives resonance is the first and second triplet excited states of the excitation spectrum of 4-spin alternating chain configuration. The g1 , g2 and g3 values are approximately 2.21 at temperature above 40 K. The g2 dan g3 values have the dependence of temperature under 40 K.

REFLECTION INFLUENCE ON OUTPUT FREQUENCY SPECTRUM AT SUBMILLIMETER FREQUENCY TUNABLE GYROTRONS Aripin, Aripin; Kurniawan, B.
Makara Journal of Science Vol. 6, No. 3
Publisher : UI Scholars Hub

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Analisis Pengaruh Kedalaman Pemakanan dan Variasi Pahat terhadap Kekasaran Permukaan dan Kekuatan Tarik Baja S45C pada Proses Bubut Mesin CNC Aripin, Aripin; Anjani, Ratna Dewi; Marno, Marno; Hariyanto, Stefhant
TURBO [Tulisan Riset Berbasis Online] Vol 13, No 1 (2024): TURBO : Jurnal Program Studi Teknik Mesin
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v13i1.3154

Pada industri manufaktur, proses permesinan membutuhkan waktu yang cepat dan produk berkualitas tinggi. Mesin bubut CNC (Computer Numerical Control) digunakan untuk mencapai produksi skala besar. Mesin CNC memiliki banyak keunggulan, termasuk proses pemesinan modern yang menghasilkan kualitas yang baik dan dimensi yang presisi, serta pemotongan dan penyayatan bagian-bagian dengan menggunakan pahat insert. Kualitas hasil pemesinan yang baik, seperti hasil kekasaran permukaan, diperlukan untuk produksi volume tinggi. Kedalaman pemakanan adalah komponen penyebab kekasaran permukaan. Tujuan penelitian ini adalah untuk membandingkan variasi pahat sisipan karbida Tipe D, Tipe T dan Tipe V pada kedalaman pemakanan 0.5 mm, 0.75 mm dan 1 mm terhadap kekasaran permukaan yang dihasilkan dan kekuatan tariknya. Hasil penelitian ini diketahui kekasaran permukaan terendah terdapat pada proses pembubutan pahat sisipan karbida tipe D dengan kedalaman pemakanan 0,5 mm yaitu sebesar 2,590 µm, tegangan tariknya memperoleh hasil sebesar 796,27 MPa dan kekasaran permukaan tertinggi ada pada proses pembubutan pahat insert tipe V dengan kedalaman pemakanan 1 mm yaitu sebesar 11,252 µm, tegangan tariknya memperoleh hasil sebesar 702,29 MPa. Kualitas permukaan suatu bagian dipengaruhi oleh kedalaman pemakanan, permukaan yang kasar menyebabkan kekuatan tarik yang rendah dan permukaan yang halus menyebabkan kekuatan tarik yang tinggi.

EVALUASI PENGGUNAAN OBAT ANTIDIABETES PADA PASIEN DIABETES MELLITUS DAN TERDAPAT HIPERTENSI DI RUMAH SAKIT UIN SYARIF HIDAYATULLAH Aripin, Aripin; Ismaya, Nurwulan Adi; Pratiwi, Rita Dwi; Indah, Fenita Purnama Sari; Azzahra, Elsa
Edu Masda Journal Vol 8, No 1 (2024): Edu Masda Journal Volume 8 Nomor 1
Publisher : STIKes Kharisma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52118/edumasda.v8i1.214

Diabetes mellitus (DM) is a degenerative disease characterized by an increase in blood glucose levels above the normal threshold with clinical manifestations in the form of polyphagia, polydipsia and polyuria. Diabetes mellitus (DM) is currently one of the global health threats. This research aim to determine the Evaluation of Antidiabetic Drug Use in Diabetes Patients with Hypertension Complications at Syarif Hidayatullah Hospital in 2022. This research using descriptive retrospective. Data collection using the total sampling technique method with a sample size of 91 patients in 2022 at Syarif Hidayatullah Hospital. Based on the results of the study, it shows that the most age is 46-65 years old as many as 64 patients (70%). Patient characteristics based on gender are mostly female with 46 patients (51%). The use of the most drugs is metformin group with biguanid group as many as 12 patients (13%). The percentage of rationality includes the right diagnosis (100%), the right indication (100%), the right drug (100%), the right dose (95%), the right method of administration (89%), the right time interval for administration (95%), the right duration of administration (95%), the right patient (100%). Potential drug interactions were 31 patients (34%) who had potential drug interactions. Based on the results of this study, it can be concluded that the evaluation of drug use at Syarif Hidayatullah Hospital is rational.Abstrak Diabetes mellitus (DM) saat ini menjadi salah satu ancaman kesehatan global. Prevalensi pasien DM terbesar adalah DM dengan komplikasi Hipertensi, Lebih dari 50% penderita DM tipe 2 mengalami hipertensi. Tujuan penelitian ini adalah untuk mengetahui Evaluasi Penggunaan Obat Antidiabetes Pada Pasien Diabetes Komplikasi Hipertensi di Rumah Sakit Syarif Hidayatullah tahun 2022. Penelitian ini menggunakan deskriptif secara retrospektif. Pengumpulan data menggunakan metode teknik total sampling dengan jumlah sampel sebanyak 91 pasien pada tahun 2022 di Rumah Sakit Syarif Hidayatullah. Berdasarkan hasil penelitian menunjukkan usia terbanyak yaitu 46-65 tahun sebanyak 64 pasien (70%). Karakteristik pasien berdasarkan jeis kelamin terbanyak yaitu perempuan dengan jumlah 46 pasien (51%). Penggunaan obat terbanyak yaitu golongan metformin dengan golongan biguanid sebanyak 12 pasien (13%). Persentase kerasionalan meliputi tepat dignosis (100%), tepat indikasi (100%), tepat obat (100%), tepat dosis (95%), tepat cara pemberian (89%), tepat interval waktu pemberian (95%), tepat lama pemberian (95%), tepat pasien (100%). Potensi interaksi obat sebanyak 31 pasien (34%) yang memiliki potensi interaksi obat. Berdasarkan hasil penelitian ini, dapat diperoleh kesimpulan bahwa evaluasi penggunaan obat di RS Syarif Hidayatullah sudah rasional.

Co-Authors Agustini, Dini ahmad yani Ahmad Zainul Fanani Alfa Mitri Suhara, Alfa Mitri Amrullah, Muhammad Rifqi Hanif Amza, Andi Andhy Romdani, Andhy ANDI NAHRUL HAYAT, MOHAMMAD EXCEL Andryani, Dinda Syaqila Anjani, Ratna Dewi Anshary , Muhammad Adi Khairul Apriana, Erfan Ardiansyah, Ivan Nur Asep Andang, Asep Asmah, Asmah Astuti, Yani Parti Aswari, Muslim Awaludin, Robi Azzahra, Elsa B. Kurniawan Badriah, Liah Cinantya Paramita Clara Maria Livia Suitela Dany, Rahmad Dedi Nurcipto, Dedi Dita Ayu Mayasari, Dita Ayu Dwi Nurul Izzhati Edi Faisal Erika Dina Permata Ernita Susanti Fenita Purnama Sari Indah Feri Hardiyanto firmansyah maualana sugiartana nursuwars Hanny Haryanto Hariyanto, Stefhant Hayani, Surma Hendrico, Hendrico Herlinda, Mega Hernawati, Diana Hidayati Hidayati I Nyoman Adi Putra Ihtifazhuddin Hawari iin gusmana iin Ilema, Resty Iliyani, Shopiya Imam Taufiqurrahman Indra Pahala Irawan, Henky Jayadi Jayadi Jazuli, Jazuli Joko Sampurno Juhary Ali Kardiman, Kardiman Karlina Muzianti, Intan Lutfi Amin, Shella Makiyah, Yanti Sofi Marno Marno Mekata, M Menik Dwi Kurniatie Mitsudo, Mitsudo Monitasari, Anna Mubarokiyah, Tasya Azizah Muhammad Miftah Muhammad Miftah, Muhammad Muljono, - Mulyana Mulyana Mulyanto, Edy Mustofa, Romy Faisal Muzahar Muzalfa Nakiatun Niza Nadlirah, Tasnim Ahya Naeli Laelal Khiaroh Nasution, Kartini Ningrum, Afifah Rindhika Setya Nuraeni, Nisa Nurfadilah Siregar Nurlaili, Fitroh Nurwulan Adi Ismaya Okto Ivansyah Rachmasari, Sri Ratnasari, Yanti Rita Dwi Pratiwi Riyandi, Albert Rusmiati, Siti Saifullah, Firman Sari Ayu Wulandari Sasmita, Yopi Wiliyana Sawitri, Anak Agung Sagung Sayful Arif Shofa, Rahmi Nur Sofi Makiyah, Yanti Steven Adi Santoso Suhada, Karya Sumarjo, Jojo Sumarjo, Jojo Sumarjo Sutisna Sutisna T. Idehara Toto Haryadi, Toto Tulus Suryanto Usrah, Ifkar Vincent Suhartono Wahono, Puji Wilanno, Marga Rizqi Wisnu Agastya Wistama, Sri Tirto Mada Yudiana, Yudiana Yusrizal Yusrizal

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