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All Journal INOTEKS : Jurnal Inovasi Ilmu Pengetahuan, Teknologi, dan Seni BERKALA FISIKA POSITRON Jurnal Sains Dasar TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Penelitian Hutan dan Konservasi Alam Proceeding of the Electrical Engineering Computer Science and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab ATIKAN Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Compiler Jurnal Ilmiah Sinus Jurnal Suara Keadilan JSAI (Journal Scientific and Applied Informatics) Aliansi : Jurnal Manajemen dan Bisnis The World of Public Administration Journal Jurnal Teknik Informatika (JUTIF) Jurnal AbdiMas Nusa Mandiri JPPHK (Jurnal Pendidikan Politik, Hukum Dan Kewarganegaraan) QISTINA: Jurnal Multidisiplin Indonesia JIP: Jurnal Ilmu Pendidikan Jurnal Pendidikan Fisika Jurnal Ilmu Fisika dan Terapannya (JIFTA)
Sumarna Sumarna
Jurusan Pendidikan Fisika, Universitas Negeri Yogyakarta, Jl. Colombo No. 1, Yogyakarta
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Automatic Recognition of Pelung and Canary Bird Sounds Using Machine Learning and Signal Enhancement Agustika, Dyah Kurniawati; Kadarisman, Nur; Sumarna, Sumarna; Purwanto, Agus
POSITRON Vol 15, No 1 (2025): Vol. 15 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v15i1.93137

Abstract

Bird sound classification is a valuable tool in ecological monitoring and species identification, particularly for non-invasive assessment in natural environments. However, challenges such as limited labeled data and environmental noise often reduce the reliability of classification models. This study presents a lightweight bird sound classification pipeline that integrates signal preprocessing, audio augmentation, and machine learning to address these issues. Two bird species with distinct vocal characteristics, Pelung (a crossbreed involving Bangkok chickens) and Canary (Serinus canaria), were used as case subjects. A total of 40 original 2-second audio clips were extracted from longer field recordings, then processed through frame-based energy attenuation, bandpass filtering (1"“8 kHz), and RMS normalization. Ten augmentation techniques were applied to each original file to improve generalization, generating 400 augmented files for model training. Feature extraction was performed using 13-dimensional Mel Frequency Cepstral Coefficients (MFCCs), and Principal Component Analysis (PCA) was used to visualize the effect of filtering. Classification was conducted using a Support Vector Machine (SVM) with a radial basis function (RBF) kernel. Results showed that filtering improved classification accuracy from 90% to 95% on the original data. Furthermore, using only augmented data for training and original data for testing yielded 100% classification accuracy, demonstrating excellent generalization. This study highlights the effectiveness of combining adaptive preprocessing and augmentation for reliable bird sound classification under limited and noisy conditions.
Analisis Penerimaan Pengguna Kartu Top-Up di Summarecon Mall Bekasi Menggunakan Technology Acceptance Model (TAM) Rahman, Taufik; Chairudin, Muhammad Rio; Sumarna, Sumarna
Jurnal Ilmiah SINUS Vol 23, No 2 (2025): Vol. 23 No. 2, Juli 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v23i2.917

Abstract

In the digital era, electronic payment systems are increasingly developing, including the use of top-up cards in shopping centers. However, the level of acceptance and effectiveness of top-up cards in increasing transaction efficiency is still a question. This study aims to analyze the factors that influence the acceptance of the top-up card payment system at Summarecon Mall Bekasi using the Technology Acceptance Model (TAM). The research method used is quantitative by distributing questionnaires to 80 respondents who are top-up card users. Data analysis was carried out through validity and reliability tests, multiple linear regression, and hypothesis testing to test the effect of Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, and Behavioral Intention on the acceptance of top-up cards. The results showed that Perceived Usefulness had the most significant effect on the acceptance of top-up cards, followed by Behavioral Intention, while Perceived Ease of Use and Attitude Toward Using also contributed but with a smaller effect. The regression model showed that 78% of the variation in top-up card acceptance could be explained by the variables in the TAM. The conclusion of this study confirms that increasing the use of top-up cards can be done by increasing the benefits felt by users, simplifying the top-up system, and increasing socialization and education to users. The results of this study provide insights for mall managers and payment service providers in increasing transaction efficiency and encouraging the adoption of digital payment systems in modern retail environments.
OPTIMALISASI PUTUSAN HAKIM TINDAK PIDANA KORUPSI SEBAGAI UPAYA PEMBERANTASAN KORUPSI Sumarna, Sumarna; Sulistyowati, Sulistyowati; Sukresno, Sukresno
Jurnal Suara Keadilan Vol 20, No 1 (2019): JURNAL SUARA KEADILAN
Publisher : LPPM Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/sk.v20i1.5557

Abstract

Korupsi merupakan kejahatan luar biasa. Hukuman bagi pelaku tindak pidana korupsi tampaknya berseberangan dengan efek jera sebagaimana dimaksud oleh keberadaan dan tujuan hukum. Salah satu penyebabnya, dan ini yang sering jadi bahan "perbincangan publik" adalah hukuman yang dijatuhkan oleh Hakim untuk koruptor dianggap tidak sebanding dengan kejahatan luar biasa yang dilakukan  ini.          Formulasi masalah terdiri dari: Mengapa Hakim Pidana Korupsi Tidak Menjatuhkan Putusan Maksimal (Berat) Terhadap Koruptor dan Bagaimana Mengoptimalkan Keputusan Hakim Korupsi sebagai Upaya Pemberantasan Korupsi. Tujuan Penelitian ini yaitu untuk memahami dan menganalisis faktor-faktor yang menyebabkan hakim korupsi tidak membuat keputusan maksimal kepada Koruptor sebagai upaya untuk memberantas korupsi di Indonesia, serta untuk memahami dan menganalisis bagaimana mengoptimalkan keputusan Hakim tentang korupsi sebagai upaya untuk memberantas korupsi di Indonesia.          Metode Penelitian terdiri dari Pendekatan Masalah yaitu yuridis empiris, spesifikasi penelitian menggunakan penelitian deskriptif analitis, Jenis Data dalam bentuk data Primer dan data sekunder, Metode Pengumpulan Data berupa wawancara dengan Hakim korupsi, serta metode analisis data kualitatif.          Faktor yang menyebabkan Hakim Tindak Pidana Korupsi tidak memberikan putusan yang berat adalah prinsip menjatuhkan hukuman harus proporsional dengan kesalahan Tergugat, hukuman harus mencerminkan tujuan pembinaan dan tujuan pengajaran Terdakwa, yang mana Terdakwa dapat merefleksikan apa yang telah dilakukannya. Cara untuk mengoptimalkan keputusan Hakim Pidana Korupsi adalah penerapan beban pembuktian terbalik murni dalam hukum acara untuk membuktikan korupsi yang telah menggunakan beban verifikasi afirmatif. Hakim kejahatan korupsi harus dapat membedakan korupsi sebagai hal yang luar biasa, dan harus ditangani dengan cara yang luar biasa pula serta membuat keputusan maksimum terhadap koruptor untuk memberikan efek jera.
PENGEMBANGAN PERANGKAT PEMBELAJARAN MODEL TEAM GAMES TOURNAMENT UNTUK MENINGKATKAN MINAT DAN HASIL BELAJAR Chintyawati, Sindy; Sumarna, Sumarna
Jurnal Pendidikan Fisika Vol 12, No 2 (2025): Jurnal Pendidikan Fisika
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpf.v12i2.21785

Abstract

Penelitian ini dilakukan berdasarkan permasalahan peserta didik mengenai minat belajar dan hasil belajar kognitif yang masih rendah. Tujuan dari penelitian ini adalah: 1) menghasilkan perangkat pembelajaran dengan model Team Games Tournament (TGT) yang layak untuk meningkatkan minat belajar dan hasil belajar kognitif peserta didik, (2) mendeskripsikan ada tidaknya peningkatan minat belajar peserta didik yang menggunakan perangkat pembelajaran model Team Games Tournament (TGT), (3) mendeskripsikan ada tidaknya peningkatan hasil belajar kognitif peserta didik yang menggunakan perangkat pembelajaran model Team Games Tournament (TGT).  Penelitian ini menggunakan model 4D menurut Thiagarajan yang memiliki 4 tahap: define, design, develop, dan disseminate. Jenis data pada penelitian ini adalah kualitatif dan kuantitatif. Hasil penelitian ini berupa: (1) perangkat pembelajaran dengan model pembelajaran Team Games Tournament (TGT) layak digunakan untuk meningkatkan minat belajar dan hasil belajar kognitif peserta didik dengan perolehan nilai modul ajar dan LKPD sebesar 3,6 dengan kategori sangat baik., (2) perangkat pembelajaran dengan model pembelajaran Team Games Tournament (TGT) ada peningkatan minat belajar peserta didik dengan nilai standar gain 0,3 dengan kategori sedang., (3) perangkat pembelajaran dengan model pembelajaran Team Games Tournament (TGT) ada peningkatan hasil belajar kognitif peserta didik dengan nilai standar gain 0,57 dengan kategori sedang.
Efektivitas Penggunaan Sistem Informasi Administrasi Kependudukan (SIAK) Pada Dinas Kependudukan Dan Pencatatan Sipil Kabupaten Subang Riki, Wicaksono Aditya; Melani, Melani; Iwa, Jatmika; Sudrajat, Yayat; Sumarna, Sumarna
The World of Public Administration Journal Volume 7 Issue 1, Juni 2025
Publisher : Fakultas Ilmu Administrasi Universitas Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37950/wpaj.v7i1.2358

Abstract

Abstrak Penelitian Efektivitas Penggunaan Sistem Informasi Administrasi Kependudukan (SIAK) bertujuan untuk mengetahui bagaimana Efektivitas Penggunaan Sistem Informasi Administrasi Kependudukan (SIAK) Pada Dinas Kependudukan dan Pencatatan Sipil Kabupaten Subang. Lokasi yang dijadikan objek penelitian yaitu Penggunaan Sistem Informasi Administrasi Kependudukan (SIAK) di Dinas Kependudukan dan Pencatatan Sipil Kabupaten Subang. Penelitian ini membahas tentang Efektivitas Penggunaan Sistem Informasi Administrasi Kependudukan (SIAK) dalam pengelolaan data secara online maka kelemahan dalam pengelolaan data secara konvensional dapat ditekan. Perkembangan teknologi informasi yang kian pesat kini menimbulkan suatu revolusi baru, yaitu peralihan dari sistem kerja yang konvensional ke era digital. Dalam penelitian ini penulis menggunakan metode penelitian deskriptif kualitatif melalui observasi dan wawancara, studi kepustakaan dan dokumentasi. Metode pengumpulan data diperoleh langsung dan dokumen diperoleh dalam bentuk peraturan-peraturan, sedangkan pengelolaan data dengan menganalisis hasil wawancara dan observasi. Hasil penelitian menunjukkan bahwa Efektivitas Penggunaan Sistem Informasi Administrasi Kependudukan (SIAK) Pada Dinas Kependudukan dan Pencatatan Sipil Kabupaten Subang belum efektif sesuai dengan teori pengukuran efektivitas menurut Martani dan Lubis. Hasil penelitian ini menunjukkan bahwa Dinas Kependudukan dan Pencatatan Sipil Kabupaten Subang memiliki sarana dan prasarana untuk menunjang keberlangsungan proses pelayanan yang diberikan, terkhusus bagi pelaksanaan SIAK. Sistem Informasi Administrasi Kependudukan sejauh ini sudah berjalan efektif di Dinas Kependudukan dan Pencatatan Sipil Kabupaten Subang. Pengelolaan SIAK oleh operator dalam menginput data kependudukan dengan didukung sarana dan prasarana yang cukup memadai sudah berjalan efektif. Kata kunci:  Efktivitas Organisasi, Sistem Informasi Administrasi Kependudukan
DECISION TREE OPTIMIZATION IN HEART FAILURE DIAGNOSTICS: A PARTICLE SWARM OPTIMIZATION APPROACH Sumarna, Sumarna; Sartini, Sartini; Pangesti, Witriana Endah; Suryadithia, Rachmat; Riyanto, Verry
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.1815

Abstract

The rapid advancement of technology has made the implementation of accurate diagnostic methods for serious diseases like heart failure extremely important. Heart failure, being a leading cause of death worldwide, necessitates precise and accurate diagnostic techniques. The problem with conventional diagnostic methods is that they often fail to effectively accommodate the complexity of clinical data, leading to an increase in mortality rates due to heart failure. Previous research has employed various data analysis methods, but there are still fluctuations in the accuracy of results. The aim of this study is to enhance the accuracy of heart failure diagnosis by integrating the Decision Tree (DT) method with Particle Swarm Optimization (PSO) optimization. This research involves collecting and preprocessing heart failure data, followed by the development of a DT model. This model is then optimized using the PSO technique. The study uses a dataset from the UCI Repository, involving testing and validation processes to measure the model's effectiveness. The results show a significant improvement in accuracy and the Area Under Curve (AUC) after applying PSO. Accuracy increased from 79.92% to 85.29%, and AUC from 0.706% to 0.794%. The conclusion is that the integration of DT and PSO successfully improved the accuracy and reliability of the model in diagnosing heart failure. This innovation offers potential for further research in integrating optimization techniques in health data analysis, with the possibility of application in various clinical scenarios.
Combatting Heart Diseases: Advanced Predictions Using Optimized DNN Architecture Azis, Mochammad Abdul; Sumarna, Sumarna
Compiler Vol 12, No 2 (2023): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v12i2.1915

Abstract

Heart disease has become a global health issue and is recorded as one of the primary causes of death in many countries. In this modern era, with rapid technological advancements and shifting lifestyles, numerous factors contribute to the increasing prevalence of heart diseases. These range from dietary habits, lack of physical activity, stress, to genetic factors. Given the complexity of this ailment, information technology plays a crucial role in providing innovative solutions. One of them is predicting the risk of heart disease, enabling more targeted early prevention and treatment interventions.Correct data analysis is pivotal in making predictions. However, a common challenge often encountered is the imbalance in data classes, which can result in a predictive model being biased. This is certainly detrimental, especially in the context of predicting strokes, where prediction accuracy can mean the difference between life and death.In this research, our focus was on developing a Deep Neural Network (DNN) Architecture model. This model aims to offer more accurate predictions by considering data complexities. By optimizing several key parameters, such as the type of optimizer, learning rate, and the number of epochs, we strived to achieve the model's best performance. Specifically, we selected Adagrad as the optimizer, set the learning rate at 0.01, and employed a total of 100 epochs in its training.The results obtained from this research are quite promising. The optimized DNN model displayed an accuracy score of 0.92, precision of 0.92, recall of 0.95, and an f-measure of 0.93. This indicates that with the right approach and meticulous optimization, technology can be a highly valuable tool in combatting heart diseases.
PENGARUH MOTIVASI KERJA TERHADAP KINERGA PEGAWAI PADA KANTOR BADAN NASIONAL PENCARIAN DAN PERTOLONGAN (BASARNAS) JAKARTA Sumarna, Sumarna; Basir, Abdul
Aliansi : Jurnal Manajemen dan Bisnis Vol 19, No 1 (2024): ALIANSI : Jurnal Manajemen dan Bisnis
Publisher : Sekolah Tinggi Manajemen IMMI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46975/aliansi.v19i1.555

Abstract

Kondisi yang memotivasi dan mendorong semangat kerja manusia untuk melakukan aktivitas dikenal sebagai motivasi. Kondisi ini tercermin dalam upaya yang dilakukan untuk mencapai suatu tujuan. Kinerja didefinisikan sebagai tingkat pencapaian program, kegiatan, atau kebijakan dalam mencapai sasaran, tujuan, visi, dan misi organisasi. Selama proses perencanaan strategi organisasi, ini diukur. Tujuan dari penelitian ini adalah untuk menentukan seberapa besar pengaruh motivasi terhadap kinerja 60 pekerja Basarnas Jakarta. Hasil dari uji T parsial menunjukkan bahwa variabel motivasi (X) memiliki nilai t-hitung yang signifikan (p 0,1) dan nilai t-hitung sebesar 2,950 melebihi nilai ttabel sebesar 1,68385. Oleh karena itu, dapat disimpulkan bahwa motivasi secara signifikan dan positif secara parsial memengaruhi kinerja pegawai (Y). Hipotesis ini diterima. Kata Kunci : Motivasi dan Kinerja Pegawai.
INTEGRASI SISTEM PENDIDIKAN PADA LEMBAGA FORMAL DAN LEMBAGA NONFORMAL Sopwandin , Iwan; Munawar, Munawar; Hapsoh, Siti; Sumarna, Sumarna; Palahudin, Cecep; Nurjalilah, Siti
JIP: Jurnal Ilmu Pendidikan Vol. 2 No. 1 (2024): Januari
Publisher : CV. Adiba Aisha Amira

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

Abstract

Integration in the meaning of the relationship between formal and non-formal education is the existence of a unity of purpose and an educational system that is mutually beneficial between the two. This research aims to analyze the integration between formal and non-formal education, in this case schools and Islamic boarding schools under the auspices of the Miftahul Ulum Gunungbubut Sodonghilir Tasikmalaya Islamic Education Foundation. The research method used is qualitative with a descriptive analysis approach. Data collection techniques include observation, interviews and documentation studies. Meanwhile, the interactive model which includes data condensation, data presentation and conclusions is used as a data analysis tool. The results of this research show that several things are integrated between schools and Islamic boarding schools, namely related to: 1) discounts on school entrance fees for students who live in Islamic boarding schools; 2) lesson schedule, and 3) holiday schedule.
Food Aid Airdrop Strategy in the 2025 Joint Humanitarian Operation in Gaza Sumarna, Sumarna; Thomas, Thomas; Tasdik, Tasdik
QISTINA: Jurnal Multidisiplin Indonesia Vol 4, No 2 (2025): December 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v4i2.7725

Abstract

The prolonged conflict between Palestine and Israel has generated a severe humanitarian crisis, particularly in the Gaza Strip, where civilians face major difficulties in obtaining basic necessities due to the blockade and the intensity of Israeli attacks. In this context, food-aid airdrop operations have emerged as an effective alternative for reaching affected areas that are inaccessible through land routes. This study aims to analyze the strategy and operational constraints of food-aid airdrops conducted as part of the joint operation of the GARUDA Merah Putih Task Force in the 2025 Gaza humanitarian mission. The research adopts a qualitative case-study approach grounded in Arthur F. Lykke, Jr.’s strategic theory, Wassenhove’s humanitarian logistics preparedness model, and NATO’s military logistics framework. The findings indicate that the implementation of food-aid airdrops in the Gaza joint humanitarian operation involved a high level of complexity. Accordingly, the airdrop strategy was carried out through an integrated sequence of stages, encompassing planning, mobilization of personnel and equipment, execution of the drops, and post-operation evaluation and termination. The GARUDA Merah Putih Task Force successfully prepared and delivered 520 aid bundles (approximately 91.4 tons of food supplies) using the Low Cost Low Altitude (LCLA) method with a high level of delivery accuracy. Nevertheless, the operation encountered several challenges, including limited rigging equipment, shortages of qualified personnel, changes in flight clearances, and the absence of pre-deployment training. Based on these insights, the study recommends: (1) strengthening the stock of internationally standardized rigging equipment in each Army Logistics (Bekang) unit, (2) conducting internationally scaled joint training for cross-service humanitarian operations, and (3) developing TNI doctrine specifically for global humanitarian missions.
Co-Authors Aditya Wisnugraha Sugiyarto Agus Maman Abadi AGUS PURWANTO Agustika, Dyah Kurniawati Agustika, Dyah Kurniawati Anggiyani Ratnaningtyas Eka Nugraheni Arfianto, Muhammad Eka Kevin Astono, Juli Azis, Mochammad Abdul Basir, Abdul Chairudin, Muhammad Rio Chintyawati, Sindy Dadan Rosana Dina Dina Dina Indriyani Dyah Kurniawati Agustika Dyah Kurniawati Agustika Fattya Ariani Felix Wuryo Handono Hafis Nurdin Hapsoh, Siti Ilham Fajar Suhendar Insih Wilujeng Iwa, Jatmika Iwan Sopwandin Juli Astono Jumadi Jumadi Luthfianingrum, Nurhamidah Melani Melani Muhamad Fahmi Fauzi, Muhamad Fahmi Munawar Munawar Nibras, Iqbaluz Zain Nur Kadarisman Nurhidayah, Desy Nurjalilah, Siti Oktavia, Fuji Palahudin, Cecep Pitri, Anisa Pramastya, Ananda Bagus Purwanto, Agus Rashydny, Nabila Amina Riki, Wicaksono Aditya Sartini Sartini Sofwan, Prima Yuana Subaryanto Subaryanto, Subaryanto Suharjanto, David Sukresno Sukresno Sulistyowati Sulistyowati Suparwoto Suparwoto Supriadi, Riki Suryadithia, Rachmat Susatijo, Gatot Tasdik, Tasdik Taufik Rahman Thomas Thomas Verry Riyanto WITRIANA ENDAH PANGESTI Yana Iqbal Maulana Yayat Sudrajat