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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Dinamik Ekonomi Bisnis Jurnal Sains dan Pendidikan Fisika Jurnal Ekonomi : Journal of Economic KADIKMA CALYPTRA : Jurnal Ilmiah Mahasiswa Universitas Surabaya Pharmaciana: Jurnal Kefarmasian The Indonesian Accounting Review JAM : Jurnal Aplikasi Manajemen Wawasan : Jurnal Ilmiah Agama dan Sosial Budaya Equilibrium: Jurnal Pendidikan Jurnal Tamaddun Padjadjaran Journal of Dentistry Sinkron : Jurnal dan Penelitian Teknik Informatika Journal Of English Language and Education Jurnal Studi Komunikasi JURNAL CITRA KEPERAWATAN Jurnal Studi Al-Qur'an JMM (Jurnal Masyarakat Mandiri) Aquasains : Jurnal Ilmu Perikanan dan Sumberdaya Perairan JELL (Journal of English Language and Literature) STIBA-IEC Jakarta JURNAL PENDIDIKAN TAMBUSAI Patria Artha Journal of Accounting Dan Financial Reporting JURIKOM (Jurnal Riset Komputer) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH TEGAR: Journal of Teaching Physical Education in Elementary School Journal of Humanities and Social Studies JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Sarwahita : Jurnal Pengabdian Kepada Masyarakat Indonesian Physical Review Majalah Ilmiah Bijak Journal of Nonformal Education and Community Empowerment Business Innovation and Entrepreneurship Journal Building of Informatics, Technology and Science Jurnal Menssana Journal of English Education and Teaching (JEET) Jurnal Akuntansi Kompetif Jurnal Sekretari Universitas Pamulang Darmabakti Cendekia: Journal of Community Service and Engagements J-ADIMAS (Jurnal Pengabdian kepada Masyarakat) FIKROH: JURNAL PEMIKIRAN DAN PENDIDIKAN ISLAM JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) Journal of Telenursing (JOTING) Science Midwifery Physical Activity Journal (PAJU) GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Majalah Ilmiah Matematika dan Statistika (MIMS) Tangible Journal KIDDO: Jurnal pendidikan Islam Anak Usia Dini Mattawang: Jurnal Pengabdian Masyarakat JURNAL KESEJAHTERAAN DAN PELAYANAN SOSIAL Jurnal Akuntansi dan Keuangan Kontemporer (JAKK) Mozaic : Islam Nusantara Jurnal Ekonomi Efektif Jurnal Pengabdian Olahraga Masyarakat Taklim : Jurnal Pendidikan Agama Islam Jurnal Abdi Masyarakat Indonesia Decode: Jurnal Pendidikan Teknologi Informasi J-Com (Journal of Computer) TARBAWY: Indonesian Journal of Islamic Education Proceedings of the International Conference on Nursing and Health Sciences Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Golden Ratio of Finance Management Golden Ratio of Social Science and Education Abiwara : Jurnal Vokasi Administrasi Bisnis Satwika: Jurnal Pengabdian kepada Masyarakat Journal of Management and Digital Business KOMMAS: Jurnal Pengabdian Kepada Masyarakat LEBAH PENA LAW: International Journal of Law Media Riset Bisnis & Manajemen Bandung Conference Series: Business and Management International Journal of Health Science and Technology Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Keperawatan 'Aisyiyah Jurnal Pengabdian kepada Masyarakat Jurnal of Community Health Development (JCHD) Entrepreneurship and Small Business Research Journal Of Computer Science And Technology Jurnal Pengabdian Masyarakat Bangsa Jurnal Portal Sipil Jurnal Penelitian Journal Of Indonesian Social Society ISJOUST Paradigma: Jurnal Kajian Budaya Wacana: Journal of the Humanities of Indonesia JAMAS: Jurnal Abdi Masyarakat Dirkantara Indonesia Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Almaheer: Jurnal Pendidikan Islam Prosiding Seminar Nasional Pengabdian Kepada Masyarakat: Peduli Masyarakat PEDAMAS (Pengabdian Kepada Masyarakat) El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Jurnal Multidisiplin Indonesia Jurnal Ekonomi dan Pembangunan Indonesia Jurnal Pengabdian Nasional (JPN) Indonesia Abdimas Dinamis Jurnal Medika: Medika Jurnal Komunikasi Indonesia Jurnal Pengabdian Masyarakat Mandira Cendikia (JPKM-MC) Journal of Applied Science and Advanced Engineering ABDIMAS Iqtishadia Journal of Ekonomics, Finance, and Management Studies Edukasia Islamika: Jurnal Pendidikan Islam PESHUM BAKTI : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Bongaya (JIB) SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa
Dewi ANGGRAENI
Universitas Surabaya
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The Correlation of Training Intensity and Taekwondo Athlete's Physical Fitness Level Anggraeni, Dewi; Syafei, Muhamad; Suhartoyo, Topo; Surijati, Katri Andini; Widanita, Neva
Physical Activity Journal (PAJU) Vol 6 No 1 (2024): Physical Activity Journal (PAJU)
Publisher : Department of Physical Education, Faculty of Health Sciences, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.paju.2024.6.1.11863

Abstract

The research investigates the physiological responses correlated with varying training intensities. This research determines the correlation between routine taekwondo training intensity and physical fitness in achievement class athletes at the Satria Taekwondo Academy Club, Purwokerto. The quantitative correlational research method uses a single-group experimental pre-test and post-test design method without posing any particular threat to the research sample. This research involved athletes' achievement development classes at the Satria Academy Taekwondo Club Purwokerto as samples. The research involves 30 respondents. Physical fitness was examined using the Multistage Fitness Test (running to the rhythm). The results reveal that while the majority of respondents are in the "Average" category, there is a concerning prevalence of individuals classified as "Poor" and "Bad." The examination of aerobic fitness levels among the 30 Taekwondo athletes reveals significant insights into the correlation between specialized training and cardiovascular performance
K-MEANS CLUSTERING CALCULATION TO DETERMINE MAINSTREAM DOMINATION OF COURSES Anggraeni, Dewi; Rizaldi, Rizaldi
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 1 (2023): Desember 2023
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.v10i1.2847

Abstract

Abstract : In Semester 6 students are required to choose mainstream elective courses at the STMIK Royal campus. In this study, researchers chose 2 mainstraim elective courses, namely Logic and Programming, and Database and Information Management. The purpose of choosing this elective course is for students to focus more on their majors. The process of selecting the data, researchers carry out an analysis process of student learning outcomes. This research data is semester 1 to semester 5 grades. All data on the value of student learning outcomes are divided into 2 parts, namely theory and practice and divided into the number of courses. For many uses, a data mining method using K-means cluster is needed. K-Means Clustering is a data analysis method or Data Mining method that performs an unsupervised learning modeling process and uses methods that group data from various partitions. The results of the k means clutering grouping with 2 clusters, namely cluster 0 of the mainstream group of logic and programming courses with a total of 28 students, and cluster 1 of the mainstream group of informatics database and management courses with a total of 72 students with a total of 100 students.            Keywords: data; K-means; student      Abstrak : Mahasiswa semester 6 diwajibkan memilih mainstream matakuliah pilihan yang ada di kampus STMIK Royal. Pada penelitian ini, peneliti memilih 2 mainstraim matakuliah pilihan yaitu Logika dan Pemprograman, serta Basis Data dan Manajemen Informatika. Tujuan pemilihan matakuliah pilihan ini adalah agar mahasiswa lebih terfokus pada jurusannya. Proses pemilihan datanya, peneliti melakukan proses analisa dari hasil belajar mahasiswa. Data penelitian ini nilai semester 1 sampai  semester 5. Seluruh data nilai hasil belajar mahasiswa dibagi menjadi 2 bagian yaitu teori dan praktek serta dibagi jumlah banyaknya matakuliah. untuk penggunaan yang banyak, maka dperlukan metode data mining dengan menggunakan k-means cluster. K-Means Clustering adalah metode analisis data atau metode Data Mining yang melakukan proses pemodelan pembelajaran tanpa pengawasan dan menggunakan metode yang mengelompokkan data dari berbagai partisi. Hasil pengelompokan k means clutering dengan 2 cluster yaitu cluster 0 kelompok mainstream matakuliah logika dan pemprograman dengan jumlah mahasiswa 28 orang, dan cluster 1 kelompok mainstream matakuliah basis data dan manajemen informatika dengan jumlah mahasiswa 72 orang dengan total keseluruhan 100 mahasiswa. Keyword : data; K-means; mahasiswa;
IMPLEMENTATION EXPONENTIAL COMPARISON METHOD IN ASSESSING THE PERFORMANCE OF SCOUT MOVEMENT LEADERS mudya, Ajrian Pra; Anggraeni, Dewi; Sahren, Sahren
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 3 (2024): Juni 2024
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.v10i3.3099

Abstract

Abstract: The need for Performance Evaluation in Scout organizations is important to ensure that organizational goals are achieved and training standards are maintained. Performance evaluation helps in identifying strengths, weaknesses, as well as areas for improvement in training. The importance of the quality of performance of trainers in the Scout Movement cannot be underestimated, because they have a central role in guiding, training and providing inspiration to students. For this reason, there is a need to evaluate the performance of Scout trainers to increase the effectiveness of training and improve the quality of Scout education. The purpose of this research is to identify trainer performance quality criteria, evaluate their performance, and contribute knowledge in the development of a Scout trainer performance evaluation system. Then, the exponential comparison method (MPE) is used to provide a comprehensive assessment of the trainer's performance based on predetermined criteria. The results of this research are a web-based decision support application by applying the Exponential Comparison Method to evaluate the quality of Scout trainer performance, which can help improve the quality of training and provide guidance for Scout education providers. This research makes an important contribution to the development of a more efficient and effective Scout trainer performance evaluation system.         Keywords: coaching;  decision support systems; exponential comparison; performance. Abstrak : Kebutuhan akan Evaluasi Kinerja dalam organisasi Pramuka menjadi penting untuk memastikan bahwa tujuan organisasi tercapai dan standar pelatihan dipertahankan. Evaluasi kinerja membantu dalam mengidentifikasi kekuatan, kelemahan, serta area untuk perbaikan dalam pelatihan. Pentingnya kualitas kinerja para pelatih dalam Gerakan Pramuka tidak dapat dianggap rendah, karena mereka mempunyai peranan sentral dalam membimbing, melatih dan memberikan inspirasi kepada peserta didik. Untuk itu kebutuhan akan evaluasi kinerja pelatih Pramuka diperlukan untuk meningkatkan efektivitas pelatihan dan meningkatkan mutu pendidikan pramuka. Tujuan penelitian ini untuk mengidentifikasi kriteria kualitas kinerja pelatih, mengevaluasi kinerja mereka, dan menyumbangkan pengetahuan dalam pengembangan sistem evaluasi kinerja pelatih Pramuka. Kemudian, metode perbandingan eksponensial (MPE) digunakan untuk memberikan penilaian komprehensif terhadap kinerja pelatih berdasarkan kriteria yang telah ditentukan. Hasil dari penelitian ini sebuah aplikasi pendukung keputusan berbasis web dengan menerapkan Metode Perbandingan Eksponensial untuk mengevaluasi kualitas kinerja pelatih Pramuka, yang dapat membantu meningkatkan mutu pelatihan dan memberikan panduan bagi penyelenggara pendidikan Pramuka. Penelitian ini memberikan kontribusi penting dalam pengembangan sistem evaluasi kinerja pelatih Pramuka yang lebih efisien dan efektif.Kata Kunci: kinerja; pembinaan; perbandingan eksponensial; sistem pendukung keputusan
ANALYSIS OF NEURAL NETWORK ALGORITHM IN URBAN AIR QUALITY PREDICTION Anggraeni, Dewi; Azmi, Sri Rezki Maulina
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.v11i2.3822

Abstract

Abstract: Air quality in urban areas is becoming an increasingly important issue considering its impact on human health and the environment. The rapid increase in air pollution requires effective methods to predict air quality in order to take appropriate mitigation measures. This study aims to analyze the use of Neural Network (NN) algorithms in predicting air quality in cities. The method used is the application of the NN model, especially the Multilayer Perceptron (MLP), which is trained using historical air quality data such as dust particle levels (PM10, PM2.5), carbon monoxide (CO) gas, and temperature. The data used in this study came from urban air quality monitoring stations collected over a period of time. The results show that the Neural Network algorithm can provide quite accurate predictions of air quality with a low Mean Absolute Error (MAE) value, showing the effectiveness of the model in predicting f fluctuations in air quality. The conclusion of this study is that Neural Network algorithms, specifically MLPs, are an effective tool for air quality prediction, which can be used as a basis for urban air quality management policies.  Keywords: air quality;  neural network; prediction; multilayer perceptron (MLP)  Abstrak: Kualitas udara di perkotaan menjadi isu yang semakin penting mengingat dampaknya terhadap kesehatan manusia dan lingkungan. Peningkatan polusi udara yang pesat memerlukan metode yang efektif untuk memprediksi kualitas udara guna mengambil langkah mitigasi yang tepat. Penelitian ini bertujuan untuk menganalisis penggunaan algoritma Neural Network (NN) dalam memprediksi kualitas udara di perkotaan. Metode yang digunakan adalah penerapan model NN, khususnya Multilayer Perceptron (MLP), yang dilatih menggunakan data kualitas udara historis seperti kadar partikel debu (PM10, PM2.5), gas karbon monoksida (CO), dan suhu. Data yang digunakan dalam penelitian ini berasal dari stasiun pemantauan kualitas udara di perkotaan yang dikumpulkan selama periode waktu tertentu. Hasil penelitian menunjukkan bahwa algoritma Neural Network dapat memberikan prediksi yang cukup akurat terhadap kualitas udara dengan nilai Mean Absolute Error (MAE) yang rendah, menunjukkan efektivitas model dalam memprediksi fluktuasi kualitas udara. Simpulan dari penelitian ini adalah bahwa algoritma Neural Network, khususnya MLP, merupakan alat yang efektif untuk prediksi kualitas udara, yang dapat digunakan sebagai dasar untuk kebijakan pengelolaan kualitas udara di perkotaanKata kunci: kualitas udara; neural network; prediksi; multilayer perceptron (MLP)
PURIFICATION OF KROSOK SALT (CRUDE SOLAR SALT) THROUGH RECRYSTALLIZATION METHOD WITH ADDITION OF DIFFERENT CONCENTRATIONS OF SLAKED LIME (Ca(OH2)) Spanton, Perdana Ixbal; Anggraeni, Dewi
AQUASAINS Vol. 12 No. 2 (2024): March 2024
Publisher : Jurusan Perikanan dan Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/aqs.v12i2.p1499-1505

Abstract

Purifying krosok salt (crude solar salt) is an essential step in the food and pharmaceutical industry to ensure product quality. One of the methods used for the purification of krosok salt in this study was recrystallization, involving the addition of slaked lime (Ca(OH)2) at various concentrations. Recrystallization entails dissolving salt crystals in water, followed by filtration to separate impurities from the clean salt solution. This purified salt solution is then heated to produce purer salt crystals. The aim of this study was to analyze the quality content of salt in the yielded pure salt. The significance of this research lies in its contribution of new knowledge regarding simple traditional salt processing methods, which can yield higher-quality salt with significant economic value. In this process, Ca(OH)2 was added at concentrations of 0.1%, 0.08%, and 0.06% to assess its effect on krosok salt purification. The research methodology employed experimental methods. The study's results indicated that the NaCl level test yielded an average value of 96.7% with a C concentration of 0.06%. The highest avera-ge value of 97.686% for the degree of whiteness was observed at a C concentration of 0.1%. Magnesium content averaged 0.07% at a C concentration of 0.06%, while calcium content averaged 0.058% at the same concentration. Keywords: Krosok salt, recrystallization, betel lime, salt quality.
KOMPARASI PENDEKATAN SES DAN SMA UNTUK PREDIKSI HASIL PRODUKSI KELAPA SAWIT Fahdrina, Jihan Aulia Putri; Anggraeni, Dewi; Santoso, Santoso
J-Com (Journal of Computer) Vol. 5 No. 1 (2025): MARET 2025
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v5i1.3812

Abstract

Abstract: Palm oil is a key commodity that requires accurate production planning to support budget and operational efficiency. PT Buana Sawit Indah, a company managing palm oil plantations, faces challenges in forecasting future production, necessitating a computerized forecasting system. This study aims to develop a forecasting system using the Single Exponential Smoothing (SES) and Single Moving Average (SMA) methods to predict palm oil production. The results indicate that both methods are effective; however, SMA with a Moving Average (MA) of 5 provides the best forecasting results, with a MAD of 165,941.64, an MSE of 65,823,372,491.27, and an MAPE of 15.66%, categorized as "good" forecasting. Meanwhile, the SES method with α = 0.9 yields the lowest error compared to other alpha values, with a MAD of 154,586.25, an MSE of 33,192,818,696.83, and an MAPE of 16.91%, also classified as "good" forecasting. Based on these findings, the SMA method with MA 5 is recommended as it produces lower forecasting errors than the SES method. Therefore, this forecasting system can assist the company in planning palm oil production more accurately and efficiently, supporting better decision-making in the future.  Keywords: palm oil; forecasting; production; single exponential smoothing; single moving average Abstrak: Kelapa sawit merupakan komoditas utama yang memerlukan perencanaan produksi yang akurat untuk mendukung efisiensi anggaran dan operasional. PT Buana Sawit Indah, salah satu perusahaan yang mengelola perkebunan kelapa sawit, sedang menghadapi kesulitan dalam memperkirakan hasil produksi di masa mendatang, sehingga diperlukan sistem peramalan berbasis komputer. Penelitian ini bertujuan mengembangkan sistem peramalan menggunakan metode Single Exponential Smoothing (SES) dan Single Moving Average (SMA) untuk memprediksi produksi kelapa sawit. Hasil penelitian menunjukkan bahwa kedua metode cukup efektif, namun SMA dengan Moving Average (MA) 5 memberikan hasil peramalan terbaik dengan nilai MAD sebesar 165.941,64, MSE sebesar 65.823.372.491,27, dan MAPE sebesar 15,66%, yang dikategorikan sebagai peramalan “bagus.” Sementara itu, metode SES dengan α = 0,9 menunjukkan nilai kesalahan lebih rendah dibanding nilai alpha lain, dengan MAD sebesar 154.586,25, MSE sebesar 33.192.818.696,83, dan MAPE sebesar 16,91%, yang juga termasuk kategori peramalan “bagus.” Berdasarkan hasil tersebut, metode SMA dengan MA 5 lebih direkomendasikan karena menghasilkan tingkat kesalahan yang lebih rendah dibandingkan metode SES. Dengan demikian, sistem peramalan ini dapat membantu perusahaan dalam merencanakan produksi kelapa sawit secara lebih akurat dan efisien untuk mendukung pengambilan keputusan yang lebih baik di masa mendatang. Kata kunci: kelapa sawit; peramalan; produksi; single exponential smoothing; single moving average
Pemanfaatan Artificial intelligence dalam Pembuatan Presentasi bagi Guru-Guru Brainfor Islamic School Kisaran Maharani, Dewi; Anggraeni, Dewi; Nofitri, Rika
Journal Of Indonesian Social Society (JISS) Vol. 2 No. 1 (2024): JISS - Februari
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jiss.v2i1.219

Abstract

Pengabdian Masyarakat berjudul "Pemanfaatan Artificial Intelligence dalam Pembuatan SlidePresentasi bagi Guru-Guru” ini merupakan upaya mendukung inovasi dalam dunia pendidikankhususnya di tingkat Sekolah Dasar (SD) dan Pendidikan Anak Usia Dini (PAUD) di SekolahBrainfor Islamic School Kisaran. Permasalahan yang dihadapi guru-guru pada tingkat ini adalahkendala dalam menyusun materi presentasi yang cepat, serta menarik perhatian orangtua siswamaupun siswanya dan mampu efektif dalam menyampaikan informasi. Dalam menyikapipermasalahan ini, kami mengusulkan solusi melalui pemanfaatan kecerdasan buatan (AI) denganfokus pada penggunaan ChatGPT yang dapat memberikan panduan desain, layout, dan kontenpresentasi secara otomatis, sesuai dengan tujuan yang ingin di sampaikan Narasumber atau Guru.Penggunaan ChatGPT ini bertujuan membantu guru-guru Brainfor dalam menyusun slidepresentasi yang sesuai alur ataupun prosedur serta relevan dengan kurikulum yang berlaku.ChatGPT ini akan dapat diakses melalui platform online atau aplikasi, memudahkan akses danpenggunaan oleh para guru. Dalam upaya mendukung pemahaman dan penerapan teknologi ini,proposal ini juga mencakup pelatihan intensif bagi guru-guru mengenai penggunaan alat AIdalam menyusun materi presentasi yang berkualitas.Selain itu, sebagai langkah inovatif tambahan, narasumber melibatkan penggunaan platformdesain grafis Canva dalam pembuatan slide presentasi. Canva adalah alat yang user-friendly danpopuler dalam pembuatan desain grafis, termasuk pembuatan slide presentasi. Para guru akandiajarkan cara mengintegrasikan output dari Chat GPT yang dikembangkan dengan Canva,sehingga para guru-guru dapat menghasilkan presentasi yang lebih kreatif dan sesuai dengangaya masing-masing. Langkah ini diambil untuk memberikan variasi dan fleksibilitas lebihkepada guru dalam menciptakan materi yang menarik perhatian siswa atau objek lainnya.Rencana kegiatan diawali dengan identifikasi kebutuhan guru-guru melalui survei dan dialoguntuk memastikan bahwa AI yang digunakan dapat menjawab kebutuhan yang sebenarnya.Setelah itu, dilanjutkan dengan penggunaan Canva dalam desain grafis. Pelatihan ini tidak hanyamencakup aspek teknis, tetapi juga penerapan praktis dalam kegiatan pengetahuan danpembelajaran sehari-hari.Setelah fase pelatihan, guru-guru akan diberikan kesempatan untuk mengimplementasikanpengetahuan yang diperoleh mereka dalam pembelajaran di kelas. Selama periode ini, merekajuga akan mendapatkan dukungan dan pemantauan penggunaan ChatGPT AI dan Canva untukmemberikan dampak positif atau hasil pembelajaran.Dengan menyatukan kecerdasan buatan, platform desain grafis, dan pelatihan guru, proyek inibertujuan menciptakan solusi holistik untuk meningkatkan kualitas pembelajaran di tingkat SDdan PAUD. Melalui pendekatan ini, diharapkan para guru dapat dengan lebih kreatif dan efektifmenyampaikan materi kepada siswa, maupun objek lainnya serta menghasilkan dampak positifpada proses pembelajaran dan pemahaman mereka. 
Determinan Pemilihan Profesi Akuntan Publik di Kalangan Mahasiswa Akuntansi Fitri; Anggraeni, Dewi; Rabiyah, Ulfa; Azzahra, Nabila; Nurwahidah
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 6 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i6.3130

Abstract

The aim of this research is to determine the factors that encourage students' interest in choosing the public accounting profession. The aim of this study is to identify the elements that motivate students to choose to work in society, in terms of financial rewards, personality, level of job security, ease of information, and work environment towards interest in becoming a public accountant. We hope that this research will provide a broader understanding of the reasons why students choose the public accounting profession. This research uses quantitative descriptive methods using multiple regression analysis using primary data in the form of statements given directly to respondents. Respondents were students with a total of 115 participants. The results show that interest in a career as a public accountant is not influenced by awards, level of security and ease of information, but on the contrary, personality and work environment are factors that generate interest in a career as a public accountant.
Numerical and experimental state of identification battery pack lithium-ion Anggraeni, Dewi; Sudiarto, Budi; Nasser, Eriko Nasemudin; Hasbi, Wahyudi; Natali, Yus; Priambodo, Purnomo Sidi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i4.pp2623-2633

Abstract

Two key indicators of a battery management system (BMS) are the state of charge (SoC) and the state of health (SoH). Accurately estimating SoC is important to prevent potential issues. Additionally, space, computing time, and cost are important factors in hardware development. To address these considerations, the first-order extended Kalman filter (EKF) and adaptive extended Kalman filter (AEKF) models were selected due to their simpler data pre-processing and better accuracy. The study recommends using the first-order equivalent circuit model (ECM) method in conjunction with the EKF and AEKF algorithms due to their straightforward setup and efficient computational process. Analysis of the charge-discharge cycles shows that the AEKF method consistently outperformed the EKF method regarding SoC accuracy. Moreover, when given different initial SoC values, the AEKF method displayed superior SoC estimation accuracy compared to the EKF method. Moreover, while the accuracy of the EKF is diminished, the error value remains below 2.5% for up to 500 cycles. Additionally, the shorter computing time of the EKF method is a consideration for practical real-world implementation. Furthermore, experiments conducted over 500 cycles revealed that SoH estimation declined from 99.97% to 76.1947%, suggesting that the battery has reached the end of life (EOL) stage.
Eco-Spirituality in “Sedekah Laut” Tradition: The Basis of Religious Moderation and Ecological Education in Coastal Communities Muniroh, Siti Mumum; Ahmad, Maghfur; Huda, Miftahul; Anggraeni, Dewi; Suharto, Slamet
Edukasia Islamika : Jurnal Pendidikan Islam Vol 10 No 2 (2025): Edukasia Islamika - Jurnal Pendidikan Islam
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/jei.v10i2.13063

Abstract

This article critically examines the meaning, values, symbols, and relationships between actors in the “Sedekah Laut” tradition as a manifestation of culturally and spiritually based environmental education. “Sedekah Laut” serves as a mitigation tool amidst the climate crisis. Through ecofeminist theory, this study integrates women, nature, and spirituality. This research positioned “Sedekah Laut” not only as a pillar of religious moderation in the cultural aspect but also as a space for ecological education that embraces gender equity. The location of this qualitative research was Wonokerto District, Pekalongan Regency. Data were obtained through interviews, observation, and documentation and analyzed using the Miles and Huberman model. The research results indicate that “Sedekah Laut” possesses ecological philosophy, meaning, and symbolism. It serves as an inclusive and adaptive instrument for addressing the climate crisis. “Sedekah Laut” serves as a space for environmental education, emphasizing women as key actors, both in the domestic and ritual spheres. This study offers a novelty in the form of a reconstruction of environmental education based on local traditions and spirituality that favors women and nature. The theoretical implications of this study expand the scope of environmental education to include spiritual-ecological aspects, while in practice, “Sedekah Laut” can serve as a model for ecological education that is inclusive, contextual, emancipatory, sustainable, and focused on climate justice.
Co-Authors . Ahsan, . 12.520.20.206 Shinta Ratnawati, 12.520.20.206 A Halim A Rumawak, Sarah A, Renetha Salma Myesha Abdul Fadhil, Abdul Abdul Wahab Abidi, Ihsan Abriyanti, Rika Mustika Adi Putra Adi, Eko Teguh Purwito Adiati Pratomo, Luki Adri, Nurul Aekram Faisal Afnida, Riska Fadila Ahmad Arif Akmal Akmal Alfin, Riandi Alfons, Alfred Benjamin Amaliah, Anisah Z Amalo, Elizabeth Anggraeni Amma Chorida Adila Anggraini, Fevi Dwi Anindit, Mutia Anshari, Ahmad Apridonal M, Yori Aprilia, Faridha Aqilia Atsila Ariarti, Juni Ariddha Zikra Syah Arief Fath Atiya Arinto Yudi Ponco Wardoyo Arumaisa Alfa Mulia Arumaisha, Alfa Mulia Asmoro, Renetha Salma Myesha astarini, dyah Astriani, Nurullita Aswani, Aprilza Awaludin, Iqbal Indra Ayuningrum, Lia Dian Az Zahra, Layla Azzahra, Nabila Bagus Kisworo, Bagus Bambang Suhartawan Baroatul K, Lia Bayu Suko Wahono Budi Prakoso, Budi Budi Sudiarto Budi, Didik Rilastiyo Bunga Puspita, Mayang Chaerunnisa, Chaerunnisa Chandra, Kris Claudia, Hadijah Ayu Corzita, Lieza D. Dafik Daawia, Daawia Daniel Akbar Wibowo Darmawati, Deni Dewi Purnama Sari Dewi Rani, Ajeng Dian Kusuma Ningrum, Dian Kusuma Dian Safitri, Ayu Diana Diawati, Prety Dini Nurbaeti Zen Diniatik Dita Amalia Djamester Simarmata Djoni Hartono Dudi Anandya Dwi Asih Surjandari Dwi Purwoko E. N. H. Paririe, Vlindercia Efendi, Yahya Ernawati, Dedeh Ernawati, Nimas Jimi Esthika Dewiasty, Esthika Fachri Ali Fahdrina, Jihan Aulia Putri Fahira, Vitria Faizatul Adzima Fakhizati, Uzmatul Febriani, Ayu Rizki Febriani, Ayu Rizky Festiawan, Rifqi Firdausy, Erina Fitri Fitri Fitri Fitriyani Fitriyani Fitroh Aida Amelia Gaffar, Mohammad Rizal Gumilar Irfanullah, Gumilar Hadiyanto, Andy Hafizh, Deri Hakam, Ahmad Halimatunnisa Asya’diyah Yusya Hamdani, Nizar Alam Hanung Eka Atmaja HAPSARI, PRAMESTHI WIDYA Harahap, Indra Ramadona Haurissa, Ryan Hawa, Anjani Anil Herlianti, Anggun Oktavia Hernani, Eni Hernani, Eny Heza, Fuad Noor Hidayat, Rohman Husni Mubarok Hutagaol, Vria Ibnu Amar, Ibnu Idris, Adam Ifrak, Karim Indra Jati Kusuma Indra Saputra, Gavrila Irawati, Diana Irfanullah, Gumilar Iriyanto, Santje M Irsanty Collein Ismail, Yusuf Ismail, Yusuf Ismoyo, Daniswara Prayoga Izzatul Mardhiah, Izzatul Jahen Fachrul Rezki Juferdy Kurniawan Juliyanto, Bagus Jumaiyah, Wati Karach, Ramadiansyah Anasan Kartini, K. Khafifi, Bagus Farhan Khairana, Syifa Khoirun Nisa Khoirunnisa, Alya Najla Koto, Zulkarnein Kurniawan, Putu Hari Kurniawati Kurniawati Kusuma, Muhammad Nanang Himawan Kusumaningsih, Ambar Leonard, Les Vis Lestari, Henny Setyo Listiandi, Arfin Deri Listiawati, Listiawati Luki Adiati Pratomo Lukman, A. Ismail Lutfie Lutfie, Lutfie M. Bahrul Ilmi M. Yogi Riyantama Isjoni M.Kharis Maulana Maghfur Ahmad Maghfur Ahmad Maharani, Dewi Margolang, Ririn Yulia Sari Mega Nur Prabawati, Mega Nur Melisa Kurniasari Mia Hasanah Amanah Illahi Miftahul Huda Miftahul Huda Misbahuddin Azzuhri mudya, Ajrian Pra Muftachina, Nahdia Muhamad Jaeni Muhamad Zuhdi Asyauqi Muhammad Irsal Muhammad Rizki Muhammad Yusuf Muminova, Zarina Muniroh, Siti Mumum Murtiningsih, Retno Sari Mustika Dewi Mutammam Mutammam, Mutammam Nafis, Abdul Wadud Nailil Muna Nasser, Eriko Nasemudin Nata, Andri Neriza Apriani Netania Emilisa Neva Widanita Ngaderman, Theodora Ngadiman Ngadiman Nisa, Choirul Nofitri, Rika Noviana, Dewi Nugroho, Yohanes Wahyu Nur Aisyah Nurcahyani, Nabila Putri Nurfitri, Desi Nurhayati Nurhayati Nurhayati Nuriah, Yuyun Nurjanna Nurjanna Nurmaningtyas, Anggia Riani Nurwahidah NURWAHIDAH NURWAHIDAH Nurwana, Nurwana Nurwati Nurwati Oktaviana Matusin, ina Palayukan, Dina Pandiya, Pandiya Permata, Amelia Pramundhitya, Maria Pratama, Koernia Nanda Purnomo Sidi Priambodo Puspita, Mayang Bunga Putra, Alga Pradipta Ananda Putra, Guntur Maha Putri, Nurul Fadila Putri, Pristiyanilicia Putri, Resta Ayuning Putri, Resta Ayuning Rabiyah, Ulfa Raden Mohamad Herdian Bhakti Rahayu, Aura Rahmadhani, Siti Rahmat Kamal Rahmawati, Ulfi Naria Rahmawati, Yana Rahmawati, Yana Ramadhani, Muh Ramadhanti, Mutiara Ramadhany, Muzaki Ramlah Ramlah Rangkuti, Bucin Ramadhani Rani, Ajeng Dewi Rayasari, Fitrian Religiosa, Maria Wrightia Reliubun, Lukman Nurdiansyah Reniati Karnasi Riandita, Lilik Ridwan Arifin Risa Rukmana Risalatul Latifah Rizaldi, Rizaldi Rizaldi, Rizaldi ROHMAWATI KUSUMANINGTIAS Rosalinda, Ana Rosiliwati Wihardja, Rosiliwati Rumawak, Sarah Agustina Rungsimanop, Hattarawadee Rynoldy, Efron Trivosa Safitri, Nanda Amalia sahren, sahren Salsabila, Nabila Almas Salsabilah, Dzakiyah Salwa, Ahda Febzia Sanjaya, Rizki SANTOSO SANTOSO Santoso Santoso Sari Siregar, Arninda Sekar Satrio Tegar Sadewo Sembor, Thelly Sembor, Thelly SH Sheliyana, Putri Shinta Gunawati Sutoro Silalahi, Lenny Erida Silvia Margaretha Sintawati, Naila Siti Fadhilah, Siti Siti Mumun Muniroh Slamet Suharto Slamet Suharto, Slamet Sofafia, Efa Spanton, Perdana Ixbal SRI ATUN Sri Hardiningsih Sri Herwiningsih Sri Rezki Maulina Azmi Sri Tjahajawati Sugesti, Hesti Suhartoyo*, Topo Sumantri Sumantri Sunardin, Sunardin Suparman Suparman Supratman Supratman, Supratman Supriyaningsih, Eny SURIJATI, KATRI ANDINI Susi Setiawani Suyatmi Syafei, Muhamad Syamsul Anwar, Syamsul Syamsul Arifin Syamsul Ph.D M.A. Hadi Taba, Herman HI Tjolleng Tantri Yanuar Rahmat Syah Tatik Mariyanti, Tatik Tika Christy Topo Suhartoyo, Topo Triswantoro Putro Urfan Hadi Rahman Wa Ode Sifatu Wahyudi Hasbi Widhowati, Azarine Aisyah Widiatmoko, Mahfud Edy Widjajaatmadja, Dhody Ar. Yannice Luma Marnala Sitorus Yesica Apriliana Paska Yuliani, Rozi Yulianto Yulianto Yuniarti Yus Natali Yusran, Husna Leila Zaenal Mustakim Zafiroh Afiani Zamzani, Vanny Adelia Zebua, Mercyana Trianne Zuliani, Peri Zulkifli Lubis