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Klasifikasi Berita Televisi Menggunakan Metode K-NN, Naïve Bayes dan SVM Wuryantoro, Tri; Muljono, Muljono; Pujiono, Pujiono
JURNAL RISET KOMPUTER (JURIKOM) Vol. 11 No. 6 (2024): Desember 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v11i6.8420

Abstract

News through television media is still one of the media that is widely used by the public in obtaining the latest information. The Central Java TVRI Public Broadcasting Institution has a news program called Berita Jawa Tengah which airs every day and  doesn’t have a classification system. This research was carried out in several stages, in the initial stage preprocessing was carried out which included: data collection, cleaning, case folding, tokenizing, normalization, stopword removal, stemming, then continued with word weighting (TF-IDF) and finally applying the K-Nearest Neighbor classification method (K-NN), Naïve Bayes and Support Vector Machine (SVM). The results of the classification carried out show that the K-NN classification method has higher results compared to other methods, namely an Accuracy value of 0.94, Precision 0.92, Recall 0.94 and f1-score 0.93, so it can be concluded that Television news classification using the K-NN method is the method that provides the most accurate results.
PREDICTING OF BREAST CANCER RISK USING MACHINE LEARNING WITH FEATURE SELECTION THROUGH XGBOOST Al Azhar, Cahya Mutiara; Pujiono, Pujiono
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 2 (2025): Maret 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i2.3661

Abstract

Abstract: Breast cancer is the leading cause of death for women globally, exacerbated by late detection. This study proposes a breast cancer risk prediction framework using XGBoost with SelectKBest feature selection. It aims to improve the accuracy and efficiency of early detection through exploratory data analysis, coding, SMOTE to address class imbalance, and feature selection (k=29). As a result, the XGBoost model achieved 98.1% accuracy, 98.1% recall, 98.1% f1-score, and 98.2% precision on test data, highlighting the importance of feature selection. These results are promising in patient prioritization (triage) for further examination, helping medical personnel identify high-risk patients, thus improving resource allocation efficiency. These findings validate SelectKBest and pave the way for the development of a machine learning-based clinical decision support system for breast cancer early detection workflows. This research contributes significantly to the application of machine learning to support early breast cancer detection.            Keywords: breast cancer; feature selection; machine learning; risk prediction; XGBOOST.  Abstrak: Kanker payudara menjadi penyebab utama kematian wanita global, diperparah deteksi yang terlambat. Penelitian ini mengusulkan kerangka prediksi risiko kanker payudara menggunakan XGBoost dengan seleksi fitur SelectKBest. Tujuannya meningkatkan akurasi dan efisiensi deteksi dini melalui analisis data eksploratif, pengkodean, SMOTE untuk mengatasi ketidakseimbangan kelas, dan seleksi fitur (k=29). Hasilnya, model XGBoost mencapai akurasi 98.1%, recall 98.1%, f1-score 98.1%, dan presisi 98.2% pada data uji, menyoroti pentingnya seleksi fitur. Hasil ini menjanjikan dalam penentuan prioritas pasien (triage) untuk pemeriksaan lebih lanjut, membantu tenaga medis mengidentifikasi pasien berisiko tinggi, sehingga meningkatkan efisiensi alokasi sumber daya. Temuan ini memvalidasi SelectKBest dan membuka jalan bagi pengembangan sistem pendukung keputusan klinis berbasis machine learning untuk alur kerja deteksi dini kanker payudara. Penelitian ini berkontribusi signifikan dalam penerapan machine learning untuk mendukung deteksi dini kanker payudara. Kata kunci: kanker payudara; pembelajaran mesin; prediksi risiko ; seleksi fitur; XGBOOST. 
Enhancing Low-Resolution Images of Mustard Leaves Affected by Pests with Thermal Sensor using Super-Resolution Convolutional Neural Network Optimization Susanto, Fredy; Nurtantio, Pulung; Soeleman, Arief; Pujiono, Pujiono; Noersasongko, Edi; Dedi, Dedi
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2841

Abstract

With urban areas facing limited agricultural land, hydroponic systems offer a solution to increase food storage and variety. Hydroponics, a farming technique that relies on water as a growing medium rather than soil, provides essential nutrients and oxygen for plants. This paper explores the use of thermal sensors to capture images of mustard leaves in a hydroponic system. In addition, it also explores thermal sensor images. These images are analyzed to detect pest attacks, with red leaves indicating the presence of pests and green/blue leaves unaffected by pests. These pests emit hot air; consequently, they turn red. The method of increasing resolution is to compare the Long Short-Term Memory (LSTM) algorithm with the Super-Resolution Convolutional Neural Network (SR-CNN) to improve the quality of images obtained from low-resolution sensors (AMG8833/Grid-EYE). The results show that the SR-CNN method is better than the LSTM (Long Short-Term Memory) method, although limitations remain due to the sensor resolution. After conducting the research, it could be observed that using LSTM resulted in a Mean Square Error (MSE) value of 0.001551685, while SR-CNN indicated an MSE value of 8.873. Furthermore, LSTM produces a Peak Signal-to-Noise Ratio (PSNR) value of 37.10797726, whereas SR-CNN achieves a PSNR of 39.199. The accuracy rates (SSIM) for LSTM and SR-CNN are 0.991538522961364 and 0.997747, respectively. These findings show that using the SR-CNN algorithm can effectively improve the quality of images produced by thermal sensors, even though the sensor pixel capacity is limited.
FAKTOR KARAKTERISTIK INDIVIDU DAN LINGKUNGAN KERJA TERHADAP KELELAHAN PEKERJA Nurhayati, Ati; Hidayah, Nurul; Pujiono, Pujiono
Media Penelitian dan Pengembangan Kesehatan Vol. 35 No. 2 (2025): MEDIA PENELITIAN DAN PENGEMBANGAN KESEHATAN
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34011/jmp2k.v35i2.2731

Abstract

PT. X is a manufacturing industry located in Cimahi City. The working environment at PT. X has a fairly hot air temperature caused by the production process. Hot temperatures are one of the work environment factors that pose a risk to workers' health. Hot temperatures are one of the work environment factors that have a risk to the health of workers such as workers experiencing fatigue. The study aimed to determine the relation of individual characteristics and environmental factors on worker fatigue at PT.X. This research was analytical with cross-sectional design. While environmental factor variables consist of noise levels and lighting levels in the environment around workers during work. The sample wass PT.X workers in the production department as many as 32 people. Sampling was done by purposive sampling. Research data were obtained through interviews and measurements. Interviews were conducted to obtain individual characteristic data. Measurements were conducted to obtain data on the level of disturbance, level of disturbance, heat stress and worker fatigue variables.The results showed that out of 32 respondents, 17 people (53.1%) experienced fatigue. The results of the Chi-square test obtained a p-value of 0.014 on the heat stress variable indicating the influence of heat stress on worker fatigue at PT.X. Workers exposed to heat stress and experiencing fatigue were 14 people (73.3%). Worker fatigue affects productivity and if not immediately addressed can cause work accidents so that the company must pay more attention to the safety and health of its workers from exposure to environmental factors.
KEEFEKTIFAN PERMAINAN ENGKLEK UNTUK MENINGKATKAN FISIK MOTORIK ANAK KELOMPOK B DI TK MEKAR SARI KANDEMAN BATANG Pujiono, Pujiono; Purnamasari, Iin; Muhtarom, Muhtarom
MAJALAH LONTAR Vol 34, No 2 (2022): Majalah Lontar
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/ltr.v34i2.12966

Abstract

Permainan engklek sebenarnya mempunyai karakteristik yang berdampak positif pada perkembangan anak. Permainan engklek dikenal sebagai permainan rakyat yang sangat dekat dengan dunia anak-anak. Permainan engklek dapat melatih gerakan motorik kasar bisa dilakukan, misalnya melatih anak berdiri di atas satu kaki. Penelitian ini dilaksanakan di TK Mekar Sari Kandeman Kabupaten Batang. Tujuan dari penelitian ini bertujuan untuk mengetahui keefektifan permainan engklek untuk meningkatkan fisik motorik anak kelompok B di TK Mekar Sari Kandeman Batang dan mengetahui respon anak-anak kelompok B di TK Mekar Sari terhadap permainan engklek. Desain yang digunakan dalam penelitian ini adalah desain Pretest-Posttest Control Group Design. Populasi dalam penelitian ini adalah peserta didik kelompok B TK Mekar Sari Kandeman Kab. Batang. Sampel dari penelitian berjumlah 32 responden. Permainan engklek dilakukan 14 kali dalam 1 bulan, penilaian perkembangan fisik motorik sebelum dan sesudah menggunakan Uji t-test pada taraf signifikansi 95% (α = 0,05). Hasil studi apakah motorik memiliki perbedaan setelah dan sebelum permainan tradisional, dengan nilai p 0,000 α-0,05. Kesimpulan: Ada pengaruh permainan engklek terhadap perkembangan fisik motorik anak. Saran: Bagi guru; agar dapat menggunakan permainan tardisional engklek dalam proses belajar mengajar yang dapat meningkatkan perkembangan fisik motorik anak.
ELECTIONS FOR SALE: THE SHORTCOMINGS OF INDONESIA'S ELECTION LAW IN PREVENTING VOTE-BUYING AND ENSURING FAIR PLAY Pujiono, Pujiono; Prasetyoningsih, Nanik
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol. 3 No. 8 (2024): July
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v3i8.2296

Abstract

This article examines the implications of addressing vote-buying in Indonesia for the future of democracy in the country. Vote-buying undermines democratic institutions, erodes public trust, and hampers citizen participation in the electoral process. By effectively tackling this issue, Indonesia can strengthen its democratic institutions, restore public confidence, and increase citizen engagement. Additionally, addressing vote-buying promotes fair political competition, ensures better representation, strengthens the rule of law, and enhances Indonesia's international reputation as a vibrant democracy. Overall, addressing vote-buying holds significant implications for the future of democracy in Indonesia, promoting transparency, accountability, and a vibrant democratic society.
FORMULATION OF LEGAL PROVISIONS PROHIBITING MONEY POLITICS IN ELECTIONS: TOWARDS HONEST AND FAIR ELECTIONS Pujiono, Pujiono; Prasetyoningsih, Nanik
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol. 3 No. 9 (2024): August
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v3i9.2316

Abstract

The formulation of legal provisions prohibiting money politics in elections is a crucial step towards creating honest and fair elections. We must comprehend the boundaries of money politics, the kinds of actions that fall under its purview, and the efficacy of the penalties we can apply to those who violate them. In the context of elections, money politics refers to the practice or phenomenon where individuals use money as a tool to influence or win the outcome of an election. One of the main influences of money politics is to turn the election process into a vote-buying event, where voters who receive money or other material gifts tend to vote for candidates who offer these rewards, not based on ideological considerations or actual candidate qualifications. In Indonesia, the use of money politics in election practices has become a serious concern in society. Despite the prevalence of money crimes in elections, many remain unarrested and unpunished. The need for legal reform emphasizes the importance of strong legal and enforcement mechanisms to combat money politics. To prohibit the practice of money politics, there needs to be firmer and more effective legal provisions.
Implementation of the Qur'an Study Program in Improving Reading Ability and Memorize the Quran Fitriya, Vina Syayidatul; Pujiono, Pujiono; Mustajab, Mustajab
Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Vol. 20, No. 1 : Al Qalam (In Progress January 2026)
Publisher : Sekolah Tinggi Ilmu Al-Qur'an (STIQ) Amuntai Kalimantan Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35931/aq.v20i1.5569

Abstract

The ability to read and write the Qur'an is very important for students because it can understand and gain new knowledge derived from the Qur'an. Many students have not mastered how to read the Qur'an well and correctly. One factor is the family environment factor that lacks knowledge about reading the Qur'an. Therefore, it is necessary for every school to implement a Qur'an reading program so that students can learn to read the Qur'an well and correctly. This study aims to describe the Al-Qur'an deepening program for beginner, tahsin, pre-tahfidz and tahfidz classes in improving the ability to read and memorize the Qur'an at Darussyafa'ah Genteng Banyuwangi Middle School. The research approach used is a qualitative approach with a case study research type. The results of the study show that the implementation of learning in beginner, tahsin, pre-tahfidz, and tahfidz classes has a uniform sequence of activities, which begins with greetings, muhadarah, reading Al-Fatihah, and opening prayers, then continued with classical sessions and deposits, and closed with prayers and greetings. In terms of methodology, the beginner, tahsin, and pre-tahfidz classes use the Yanbua method, while the tahfidz class uses the setor method. The evaluation system at all levels includes mid-semester, end-of-semester, and class promotion exams, with additional quality improvement evaluations specifically for the tahsin class.
Bantengan Sebagai Identitas Budaya dan Sumber Pendapatan Alternatif Bagi Masyarakat Singosari Anwar, Khoirul; Pujiono, Pujiono
Proceedings of Annual Conference for Muslim Scholars Vol 9 No 1 (2025): AnCoMS, Oktober 2025
Publisher : Koordinatorat Perguruan Tinggi Keagamaan Islam Swasta Wilayah IV Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36835/ancoms.v9i1.723

Abstract

This study examines the Bantengan performance in Singosari, Malang, positioned as both a vital cultural heritage and a strategic economic asset for the local community. The research explores how Bantengan serves as a cultural identity marker while functioning as an alternative income source that bolsters the creative economy and community-based tourism. Adopting a qualitative ethnographic economics approach, the study utilizes participant observation, in-depth interviews, and visual documentation involving art communities, MSME practitioners, traditional leaders, and local youth. The findings reveal that Bantengan operates through a dual function: primarily as a medium for preserving cultural values, social solidarity, and communal cooperation (gotong royong); and secondarily as an economic driver through the production of costumes, souvenirs, artistic training, and integration into the tourism sector. Despite its potential, the tradition faces significant hurdles, including limited resources and a lack of professional managerial training. The study concludes that Bantengan transcends its role as a symbolic cultural identity for the Singosari people, representing a strategic catalyst for inclusive, participatory, and sustainable local economic development.
The Influence of Green Accounting and Corporate Social Responsibility on Profitability with Corporate Governance as a Moderating Variable in Food and Beverage Manufacturing Companies Listed on the Indonesia Stock Exchange for the Period 2022 –2024 Putri, Yeni Nor Diana; Hariyati, Hariyati; Wuryani, Eni; Triani, Ni Nyoman Alit; Nuswantara, Dian Anita; Pujiono, Pujiono
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1315

Abstract

This study aims to examine the effect of Green Accounting and Corporate Social Responsibility (CSR) on profitability, with Corporate Governance as a moderating variable, in food and beverage manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2022–2024 period. This research employs a quantitative approach using a saturated sampling technique involving 80 companies, resulting in 240 observations. Secondary data were obtained from annual reports, sustainability reports, and financial statements. Profitability was measured using Return on Assets (ROA), Green Accounting through environmental cost disclosures, CSR using the Global Reporting Initiative (GRI) G4 index, and Corporate Governance using the Corporate Governance Index (GCI). Data were analyzed using Moderated Regression Analysis (MRA). The results indicate that Green Accounting and Corporate Social Responsibility do not have a significant effect on profitability. Furthermore, Corporate Governance does not act as a moderating variable in the relationship between Green Accounting, CSR, and profitability. These findings suggest that sustainability practices and corporate governance mechanisms have not yet translated into direct financial performance outcomes during the study period.
Co-Authors A.A. Ketut Agung Cahyawan W Abulebu, Henny I. Adhe Irham Thoriq Affandy Affandy Ahmad Zainul Fanani Aini, Triska Rahmatul Aisyaturrahmi Al Azhar, Cahya Mutiara Alik Katur Rofiah, Binti Alwani, Alwani Amiruddin , Amiruddin Andry Setiawan, Andry Anggun Pambudi Anugroho, Rohmat Aprila, Bord Nandre Arif Hidayat Arif Widagdo Asih Rohmani B. Pakpahan, Irnovia Bayu, Yoni Setyo Nugroho Budi Haryanto Budiono Budiono Busriyanti Busriyanti, Busriyanti Cantika Sari Siregar Catur Supriyanto Chamdan, Umar Chandra, Jennifer Chusnia, Vina Maulidah David S. V. L Bangguna Dedi Dedi Dewi Sulistianingsih Diah Restu Wardani Diah Restu Wardani Dian Anita Nuswantara Dianwicaksih Arieftiara E. Wuon, Orva Edi Noersasongko Eka Putri, Libryawati Eko Prasetyo Elanda Fikri Eni Wuryani Estu, Ahmad Zulkarnaen Eti Rimawati Etika Kartikadarma Fadhil, Azhar Fadrul, Fadrul Fadzil, Rozlinda Mohamed Fahmi Amiq Fatihul Barokah Firdaus, Gilbert Fitriya, Vina Syayidatul Fitriyani Fitriyani Fransisca, Luciana Fredy Susanto Freza Surya Asrina Guruh Fajar Shidik Hariyati Hariyati Haryati Haryati Herdhianta, Dhimas Heri Susanto Hernawan Hadi Heru Agus Santoso Hidayat, Rendra Syarief Holmes Rolandy Kapuy Ibad, Sholihul Iin Purnamasari Imam Bukori Indriani, Azizah Defi Irianti, Lingga Resvita Irma Cahyaningtyas, Irma Istiyanti, Istiyanti Ita Mowidu Iwan Hermawan Junaidi Junaidi Jutono Gondohanindijo, Jutono Kahar Kahar, Kahar Kasman Kasman Khoirul Anwar Kusharyanti Kusharyanti Lazuardi, Afried Lintang Venusita Lubis, Lubis Bambang Purnama M. Anwar Sadat M. Tangkeallo, Marthen Made Dudy Satyawan Mahazam Afrad Marita Marita, Marita Martitah Martitah Merlyana Dwinda Yanthi Mimelientesa Irman Moch Arief Soeleman Moch Arief Soeleman, Moch Arief Moch. Eko Rustiyono Mubarok, Ahmad Hasan Muchammad Shidqon Prabowo Muhamad Haris Zuhri Muhtarom Muljono Muljono Muljono, - Mursalim Mustajab Mustajab Nanik Prasetyoningsih Nasution, Khairina Ni Nyoman Alit Triani Nofriza, Eri Noor Ageng Setiyanto, Noor Ageng Nova Rijati Novida, Irma Novitriansyah, Bob Nurhayati Sitorus Nurhayati, Ati Nurtantio, Pulung NURUL HIDAYAH O. Pandoyu, Ebelhart Pandoyu, Ebelhart O Pandoyu, Ebelhart O. prabawa, randy aditya Pramana, Hendri Julian Pramitasari, Ratih Pratama, Arfian Nanda Yogi Pulung Nurtantio Andono Purwanto Purwanto Purwanto Purwanto Putra, S.E., MSA, Rediyanto Putra, Tegar Islami Putri, Yeni Nor Diana Putro, Bagus Prindo Sugihartono R Arief Nugroho Rahman, Fathor Rahman, Sarli Rangkuti, Rahmadsyah Ravindo, Besky Pramudya Rediyanto Putra Refky Fielnanda Rendra Arief Hidayat Retno Sunu Astuti Ridha Rahmawati Rini Fidiyani ROHMAWATI KUSUMANINGTIAS Romi Ilham, Romi Roy Aprianto, Roy Sahbar, Robi Sahninda, Berian Putra Saputra, Aries Gilang Sari Ayu Wulandari Septian Enggar Sukmana Setiawan, Dicky Setyawan, Onny Sifai, Izzatul Alifah Siti Muslifah, Siti Slamet Sumarto Soeleman, Arief Soeleman, M Arief Solichul Huda Somad, Agus Sri Astuti Sri Slamet Mulyati, Sri Slamet Sudarto Usuli SUGIARTO, LAGA Sugiarto, Triga Agus Sugito - Suharnawi Suharnawi Suharnawi Syahputra, Hidayat Syaiful A. Septemuryantoro Tangkeallo, Marthen M. Teguh Budi Prijanto, Teguh Budi Ujang Nurjaman, Ujang Ulum, Nafi' Fahrur Wacana, Gitit I.P Wahyu Adi Nugroho Wahyudi, Payzar Wicaksono, Duta Firdaus Widianto, Dhoni WIJAYANTO WIJAYANTO Wuryantoro, Tri Yetri Hasan Yolanda, Oppie Yudistira, Ivan Bhakti Yuli Prasetyo Adhi Yuliana, Dhea Arsinta Yundari, Yundari Yusrizal Yusrizal