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All Journal Jurnal Pendidikan Dasar Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati Telematika : Jurnal Informatika dan Teknologi Informasi Scientific Journal of Informatics Profesi Pendidikan Dasar Journal of Information Systems Engineering and Business Intelligence Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Register Journal Adi Widya : Jurnal Pengabdian Masyarakat JURNAL SINEKTIK BASIS (BAHASA DAN SASTRA INGGRIS) JCES (Journal of Character Education Society) Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya English Language and Literature International Conference (ELLiC) Proceedings JURNAL PENDIDIKAN TAMBUSAI Jurnal Basicedu Journal of Pragmatics Research Jurnal Komunikasi Pendidikan JURNAL PENDIDIKAN MIPA BENING Randwick International of Education and Linguistics PIPER Journal of Soft Computing Exploration Jurnal PRIMED:Primary Education Journal atau Jurnal Ke-SD An Jurnal Basicedu Surakarta English and Literature Journal Paradigma: Jurnal Kajian Budaya Journal of Student Research Exploration Journal of Information System Exploration and Research DIANKES : Jurnal Pengabdian Teknologi Informasi dan Kesehatan Interling : International Journal of English Language Teaching, Literature and Linguistics Jurnal Abdi Negeri
Jumanto Jumanto, Jumanto
Faculty of Humanities, Dian Nuswantoro University
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Pengaruh Penerapan Model Pembelajaran RADEC terhadap Kemampuan Berpikir Kritis pada Mata Pelajaran IPAS Peserta Didik Kelas I Ferdiansyah, Dicky; Handayani, Sri; Jumanto, Jumanto
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Translation techniques of the positive politeness utterances in the Pay It Forward movie Widiaswara, R. Anantama; Jumanto, Jumanto
Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya Vol 7 No 2 (2024)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/diglosia.v7i2.932

Abstract

This descriptive qualitative research employed the methods of observation and auto-expert judgment for the data collection and applied Brown & Levinson’s politeness theory (1987) and Molina & Albir’s translation theory (2002) for the data analysis. This research focused on finding the positive politeness strategies and the translation techniques of the utterances obtained from Pay It Forward movie as the data source. Based on the findings of the research, there were 40 utterances with positive politeness strategies as the data under analysis. The research findings, among others, showed that the strategies of Intensify interest to hearer (17.50%) and Exaggerate (17.50%) were dominantly used in the Pay It Forward movie, while the translation strategy of Established equivalent (40.00%) was mostly used in the translation of positive politeness utterances in the movie. It can be concluded here that the translator translates the positive politeness utterances of the source language (English) into the target language (Indonesian) appropriately through the Established equivalent strategy without making any significant changes to maintain the meaning relatively the same in the Indonesian translation subtitles.
Analysis of quality of service (QoS) wi-fi network in UNNES digital center building using wireshark Rianto, Nur Aziz Kurnia; Salsabila, Halimah; Jumanto, Jumanto
Journal of Student Research Exploration Vol. 1 No. 1: January 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v1i1.108

Abstract

The need for the internet is a very absolute target in today's all-digital era. The traffic of information that is so dense and always dynamic every second makes everyone want speed in capturing information circulating. The speed in gathering information in this all-digital era cannot be separated from the internet and networks. UNNES Digital Center is one of the facilities owned by Semarang State University which is used as a digital-based learning center to support the realization of the Smart Digital Campus. The availability of qualified network services at the UNNES Digital Center is needed to support the all-digital-based student learning process. This research was done to find out how fast and good the quality of the internet network provided by the UNNES Digital Center is. In the research conducted, the network analysis step uses the Quality of Service (QoS) method. In obtaining research data that will be used as a basis for analyzing throughput, packet loss, delay, and network jitter, Wireshark software is used as a tool. The research results show that the quality of the Digital Center's internet network is very good and very adequate for digital learning activities. This is evidenced by a network throughput value of 6122.37 /kbits/s, a packet loss value of 0.7%, a delay of 214 ms with a moderate or quite good value and jitter = 0.511 ms.
Increased accuracy in predicting student academic performance using random forest classifier Mulyana, Aditya Fajar; Puspita, Wiyanda; Jumanto, Jumanto
Journal of Student Research Exploration Vol. 1 No. 2: July 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/josre.v1i2.169

Abstract

This research aims to classify the academic performance of students who are successful and who have dropped out of school with high accuracy so that these matters can be addressed quickly. Things like this need fast handling to find out what factors influence it. In addition, this research was conducted to test how good the random forest algorithm is in classifying a problem. Random forest, which includes an algorithm that is commonly used for classifying a problem. By using the random forest algorithm, the accuracy results will be better than a single decision tree. This algorithm is quite good at handling and managing large datasets. From this study it can be concluded that this method can provide good prediction accuracy with a fairly high level of accuracy, namely 89%. Utilization of this random forest can be an alternative in classifying student academic achievement. This algorithm can work well in handling large datasets. This study discusses how the use of Random Forest can work to classify students' academic performance.
Pondering a Global BIPA: Politeness and Impoliteness in Verbal Interactions Jumanto, Jumanto; Rahayu, Emik
Journal of Pragmatics Research Vol 2, No 2 (2020): Journal of Pragmatics Research
Publisher : State institute of islamic studies salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/jopr.v2i2.97-112

Abstract

This opinionated research article is about politeness and impoliteness in verbal interactions within Indonesian interpersonal context. Accounts on politeness, camaraderie, distant language, close language, code-switching, and code-mixing are elaborated to come to the concept of impoliteness, i.e. rude situations and awkward situations. The interpersonal context here partly elaborates the types of hearer in the aspects of power and solidarity in Brown and Gilman’s theory (1968), the hearers of which are divided into superiors and close people in this article. Elements of both the Indonesian distant and close languages are presented, and how rude situations and awkward situations happen due to incompetence or ignorance of the two variants is illustrated. Illustrations of the Indonesian two variants and code-mixing of the two are given to highlight the rude and awkward situations. All this worldview on the teaching of Indonesian to non-native-speakers, i.e. pondering a global BIPA, should be regarded as efforts to develop as well as to market the Indonesian language to the global societies.              Keywords Politeness, camaraderie, impoliteness, distant language, close language, rude situation, awkward situation, incompetence, code-switching, code-mixing, BIPA  
The Analysis of Impoliteness within Grammar Nazi Context in Twitter Tweets Soehendro, Eunike Imanuela; Jumanto, Jumanto
Journal of Pragmatics Research Vol 4, No 1 (2022): Journal of Pragmatics Research
Publisher : State institute of islamic studies salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/jopr.v4i1.73-92

Abstract

This research focuses on one of the phenomena namely the Grammar Nazi phenomenon. In the present paper, the Grammar Nazi phenomenon was a phenomenon where people did not hesitate to criticize other people's grammatical errors. This phenomenon of Grammar Nazi was associated with the theory of Impoliteness Strategy by Culpeper (1996). This research is a qualitative one, where 100 data employed were processed first using a coding technique. The results obtained from this study are 55% of the data using the Bald on Record strategy, 18% of the data using the Sarcasm or Mock Politeness strategy, 16% of the data using the Negative Impoliteness strategy, 11% of the data using the Positive Impoliteness strategy, while 0% data using the Withhold Politeness strategy. It was also found that 61% of the data of the Grammar Nazi phenomenon used verbal bullying only to attack the face of authors of the posts, while the remaining 39% of the data used verbal bullying with intentions to correct grammatical errors, hence providing benefits for authors of the posts. The Grammar Nazi phenomenon also has a different impact on everyone. It can be seen from the characteristics of the utterances used by the Grammar Nazi.Keywords: Grammar Nazi, Grammar Nazi Phenomenon, Impoliteness Strategy, Five Strategies, Twitter.
Optimizing Support Vector Machine Performance for Parkinson's Disease Diagnosis Using GridSearchCV and PCA-Based Feature Extraction Jumanto, Jumanto; Rofik, Rofik; Sugiharti, Endang; Alamsyah, Alamsyah; Arifudin, Riza; Prasetiyo, Budi; Muslim, Much Aziz
Journal of Information Systems Engineering and Business Intelligence Vol. 10 No. 1 (2024): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.10.1.38-50

Abstract

Background: Parkinson's disease (PD) is a critical neurodegenerative disorder affecting the central nervous system and often causing impaired movement and cognitive function in patients. In addition, its diagnosis in the early stages requires a complex and time-consuming process because all existing tests such as electroencephalography or blood examinations lack effectiveness and accuracy. Several studies explored PD prediction using sound, with a specific focus on the development of classification models to enhance accuracy. The majority of these neglected crucial aspects including feature extraction and proper parameter tuning, leading to low accuracy. Objective: This study aims to optimize performance of voice-based PD prediction through feature extraction, with the goal of reducing data dimensions and improving model computational efficiency. Additionally, appropriate parameters will be selected for enhancement of the ability of the model to identify both PD cases and healthy individuals. Methods: The proposed new model applied an OpenML dataset comprising voice recordings from 31 individuals, namely 23 PD patients and 8 healthy participants. The experimental process included the initial use of the SVM algorithm, followed by implementing PCA for feature extraction to enhance machine learning accuracy. Subsequently, data balancing with SMOTE was conducted, and GridSearchCV was used to identify the best parameter combination based on the predicted model characteristics.  Result: Evaluation of the proposed model showed an impressive accuracy of 97.44%, sensitivity of 100%, and specificity of 85.71%. This excellent result was achieved with a limited dataset and a 10-fold cross-validation tuning, rendering the model sensitive to the training data. Conclusion: This study successfully enhanced the prediction model accuracy through the SVM+PCA+GridSearchCV+CV method. However, future investigations should consider an appropriate number of folds for a small dataset, explore alternative cross-validation methods, and expand the dataset to enhance model generalizability.   Keywords: GridSearchCV, Parkinson Disaese, SVM, PCA, SMOTE, Voice/Speech
The Pragmatics of AIN’T within Academic and Social Context Jumanto, Jumanto; Asmarani, Rahmanti; Syamsu Rizal, Sarif; Sulistyorini, Haryati
Register Journal Vol 15, No 1 (2022): REGISTER JOURNAL
Publisher : UIN Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/rgt.v15i1.126-146

Abstract

This paper has explored the form, the meaning, and the function of the contraction AIN’T, with the corpus data retrieved from English-affiliated URLs or Websites (web-data), through interpretive techniques and a coding analysis. The utterance AIN’T belongs to non-standard or informal English, which represents or is derived from the forms AM NOT, IS NOT, ARE NOT, HAS NOT, HAVE NOT, DO NOT, DOES NOT, DID NOT, and the others. The meaning of AIN’T implies different aspects, i.e. informality, topic area, low social class, emphasis, and content. The utterance AIN’T is part of close language, or is used for close people for friendship or camaraderie. AIN’T belongs to informal utterances, as it is incomplete, shorter, cut-down (or contracted) from other forms. The utterance AIN’T should be taught academically in classrooms or other teaching and learning encounters as informal language with its various derived constructions, and students or learners should be made aware that AIN’T is part of close language which is used to close people for friendship or camaraderie within interpersonal or social context. Use of AIN’T to not close people or superiors or others in a formal situation may lead to a rude situation, and a probable disharmony entails.        Keywords: pragmatics; politeness; camaraderie; informal English; AIN’T.
Comparative Study of Imbalanced Data Oversampling Techniques for Peer-to-Peer Landing Loan Prediction Muzayanah, Rini; Lestari, Apri Dwi; Jumanto, Jumanto; Prasetiyo, Budi; Pertiwi, Dwika Ananda Agustina; Muslim, Much Aziz
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.50274

Abstract

Purpose: Data imbalances that often occur in the classification of loan data on the Peer-to-Peer Lending platform cancause algorithm performance to be less than optimal, causing the resulting accuracy to decrease. To overcome thisproblem, appropriate resampling techniques are needed so that the classification algorithm can work optimally andprovide results with optimal accuracy. This research aims to find the right resampling technique to overcome theproblem of data imbalance in data lending on peer-to-peer landing platforms.Methods: This study uses the XGBoost classification algorithm to evaluate and compare the resampling techniquesused. The resampling techniques that will be compared in this research include SMOTE, ADACYN, Border Line, andRandom Oversampling.Results: The highest training accuracy was achieved by the combination of the XGBoost model with the Boerder Lineresampling technique with a training accuracy of 0.99988 and the combination of the XGBoost model with the SMOTEresampling technique. In accuracy testing, the combination with the highest accuracy score was achieved by acombination of the XGBoost model with the SMOTE resampling technique.Novelty: It is hoped that from this research we can find the most suitable resampling technique combined with theXGBoost sorting algorithm to overcome the problem of unbalanced data in uploading data on peer-to-peer lendingplatforms so that the sorting algorithm can work optimally and produce optimal accuracy.
Implementasi Penguatan Literasi Ziswaf Digital Berbasis Quick Response Code Indonesian Standard (QRIS) Sebagai Strategi Pembayaran Pada Lembaga Amil Zakat (LAZ) Ifriza, Yahya Nur; Jayanto, Prabowo Yudo; Jumanto, Jumanto; Sam’an, Muhammad
Jurnal Abdi Negeri Vol 1 No 1 (2023): Januari 2023
Publisher : Informa Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63350/jan.v1i1.1

Abstract

Permasalahan prioritas utama yang dihadapi mitra adalah kurangnya pengetahuan pengelolaan zakat digital dan belum adanya Quick Response Code Indonesian Standard (QRIS) yang dapat ditawarkan kepada masyarakat. Sehingga solusi yang ditawarkan adalah Peningkatan kapasitas pengelolaan zakat digital berbasis QRIS di LAZ CB Zakat. Solusi tersebut dilaksanakan dalam bentuk workshop Pengembangan QRIS LAZ CB Zakat, workshop Fasilitator zakat digital, pembuatan QRIS LAZ CB Zakat dan pembuatan Video Simulasi zakat digital berbasis QRIS. Secara umum pelaksanaan kegiatan menggunakan pendekatan Model zakat digital berbasis QRIS terbagi menjadi empat tahapan, yaitu tahap persiapan, tahap pelaksanaan, dan tahap evaluasi dan monitoring. Adapun upaya untuk keberlanjutan program adalah melalui penempatan mahasiswa penggerak. Keberlanjutan program juga diupayakan dengan membangung kemitraan antara Lembaga amil zakat dengan berbagai pihak yang ada di kota semarang, seperti LAZ CB Zakat, LAZ Bank Muammalat, dan berbagai pihak yang bergerak dalam bidang pengelolaan zakat. Berdasarkan evaluasi setelah kegiatan ditemukan bahwa ada peningkatan pengetahuan sebesar 86% tentang penggunaan QRIS.
Co-Authors Ade Parlaungan Nasution, Ade Parlaungan Adi, Yogi Kuncoro Agus Harjoko Agustiani, Agustiani Al Hakim, M. Faris Alabid, Noralhuda N. Alamsyah - Anggit Grahito Wicaksono Apsari, Fitri Noor Ari Widodo Ascarya, Farrel Aulia, Muhammad Kahfi Aurelia, Bening Febri Badriyah, Fitria Nurul Budi Prasetiyo, Budi Cahyani, Yesy Tri Chairunnisa, Tsania Damayanti, Dela Rista Dewi, Meilina Taffana Dullah, Ahmad Ubai Dwi Anggraeni DWI HAPSORO Ema Butsi Prihastari Ratna Widyaningrum, Ema Butsi Prihastari Endang Sugiharti, Endang Fatahillah, Dimas Febrianti, Anggi Ferdiansyah, Dicky Feri Faila Sufa, Feri Faila HAJRIAL ASWIDINNOOR Hakim, M. Faris Al Handayani, Sri Haryati Sulistyorini Herlina Kurniawati Hidayat Hidayat Ilham Maulana Irmade, Oka Jati, Ismail Wahyu Khoirunnisa, Avicenia Nasywa KOSUKE MIZUNO, KOSUKE KURNIATI, SRI AYU Kurniawaty Iskandar Kusuma, Novelia Salsa Dara Lestari, Apri Dwi Ligia, Emila Lintang, Irendra Luh Titi Handayani, Luh Titi Mardiansyah, M Fadil Marshanda, Putri Martha Yohana Sinaga Masa, Amin Padmo Azam Mellisa, Mellisa Much Aziz Muslim Mukarom, Rosyid Fadhil Al Mulyana, Aditya Fajar Mulyaningtyas, Lintang Ayu Murtafiah, Eni Muzayanah, Rini Ningsih, Maylinna Rahayu Nugraha, Faizal Widya NUGROHO, MUHAMMAD IRFAN Nurwijayanti Pertiwi, Dwika Ananda Agustina Prabaswara, Ireneus Prabowo Yudo Jayanto Pratama, Rizka Nur Prihatsari, Ema Butsi Puspita, Wiyanda Putri, Chindi Dwi Ayu Prabowo Putri, Salma Aprilia Huda Rahayu, Emik Rahmanti Asmarani Ramadhan, Taufiq Brahmantyo Lintang Rawat, Bibek Rianto, Nur Aziz Kurnia Riza Arifudin Rofik Rofik, Rofik RUSMILAH SUSENO Salsabila, Halimah Sam’an, Muhammad Sarafuddin, Sarafuddin Sinaga, Markus Soehendro, Eunike Imanuela Subhan Subhan Sudarsono Sugiaryo, Sugiaryo Surajaya, I Ketut Syamsu Rizal, Sarif Tanzilal Mustaqim Wibowo, Kevyn Aalifian Hernanda Wibowo, Kevyn Alifian Hernanda Wicaksono, Suntoro Widiaswara, R. Anantama Widyasari, Alma Wijaya, Dandi Indra Yahya Nur Ifriza Yosza Dasril Yulianingsih, Ratri Zaaidatunni'mah, Untsa