bluuebunny/crossref_metadata_2025 huggingface dataset:
Akuntabilitas Pelaksanaan Dana Desa Bagi Pembangunan dan Pemberdayaan Masyarakat Desa (Studi Kasus di Desa Nolokerto Kecamatan Kaliwungu Kabupaten Kendal)
Authors: Mustafa Sudirman
Published: February 2025

Pengelolaan Dana Desa (DD) di Kabupaten Kendal masih banyak masalah, dan terutama terkendala pada rendahnya kualitas Sumber Daya Manusia (SDM), banyak aparatur desa yang belum memahami bagaimana harus mengelola Dana Desa (DD) untuk kesejahteraan masyarakat. Tingkat pendidikan yang rendah, dan kewenangan rekrutmen pendamping Desa berada di Pemerintahan Provinsi Jawa Tengah, menjadi masalah dalam meningkatkan kualitas pengelola Dana Desa (DD).Â Â Di Kabupaten Kendal ditemukan kasus-kasus penyalahgunaan dana desa, diantaranya Kepala Desa Purwogondo Kabupaten Kendal dalam pengelolaan Dana Desa (DD) tahun 2018 menjadi tersangka atas dugaan penyalahgunaan dana desa (DD).Â Metode Penelitian adalah pendekatan Yuridis Normatif, untuk mengungkapkan secara cermat tentang akuntabilitas implementasi pengelolaan dana desa (DD), melalui data primer dan data sekunder.Â Â Tujuan Penelitian ini adalah untuk mengkaji dan menganalisis tingkat akuntabilitas pelaksanaan dana desa di Desa Nolokerto, dan mengkaji sejauhmana pemanfaatan dana desa untuk memberdayakan masyarakat di desa Nolokerto, serta untuk mengetahui tingkat hambatan yang dihadapi oleh Aparat Desa Nolokerto dalam pengelolaaan Dana Desa.Â Hasil penelitian menunjukkan bahwa Perencanaan, Pelaksanaan, Penatausahaan, serta pelaporan pengelolaan Dana Desa secara umum berdasarkan amanah Undang-Undang Nomor 6 Tahun 2014 sudah dilaksanakan. Namum Hambatan-hambatan yang dihadapi oleh pemeintah Desa Nolokerto dalam menyusun Perencanaan, pelaksanaan, penatausahaan, dan pelaporanÂ Â masih terkendala dengan rendahnya Sumber Daya Manusia (SDM) di Desa Nolokerto. Sehingga pemahaman terhadap regulasi Undang-Undang Nomor 6 Tahun 2014 masih rendah. Pendampingan terhadap pengelolaan dana desa masih terbatas pada tenaga dari desa Nolokerto, sehingga pemahaman terhadap regulasi pengelolaan dana desa juga masih sangat terbatas pada SDM yang seadanya.Â Kata Kunci: Akuntabilitas,Â Â Dana Desa, Pemberdayaan Masyarakat.Â
PENGARUH UMUR DAN HASIL BELAJAR TERHADAP KOMITMEN KERJA PESERTA DIKLAT PRAJABATAN CPNS GOLONGAN III K1/K2 PEMERINTAH PROVINSI DKI JAKARTA
Authors: Suharto Yanto
Published: February 2025

The learning process during pre-service training is expected to be able to increase insight and knowledge as PNS so that it can encourage PNS to perform professionally, have high integrity and commitment which is implemented into work commitments. The aim of this study was to determine the influence of age and learning outcomes on the work commitment of CPNS Grade III K1 / K2 Pre-service Training Participants in the DKI Jakarta Provincial Government in 2019. The study was conducted on 356 participants of Pre-service training. Data collection tools used were documentation of participant learning outcomes evaluation and a Geogle Form questionnaire for work commitment variables. Technical analysis of data using SPSS version 16.0 for windows to describe respondents (univariate analysis), bivariate analysis using Pearson correlation and regression and multivariate using Multiple Linear Regression Analysis. The results showed the average age was 48.66 years (95% CI: 48.37-48.94 years), the average learning outcome was 83.58 (95% CI: 82.98-84.17) and the average work commitment is 54.15 (95% CI: 53.74-54.55). Based on correlation and age regression tests do not have an influence on work commitment (p value 0.172) and learning outcomes have an influence on work commitment (p value = 0,000). Based on a concurrent test between age and learning outcomes on work commitments as well, learning outcomes have a positive and significant influence and contribute 28.7% to work commitments with the regression equation being Work Commitment = 23,357 + 0,368 learning outcomes. This means that each increase in learning outcomes 1, the work commitment of CPNS Grade III K1 / K2 Pre-service Training in the DKI Jakarta Provincial Government in 2019 will increase by 0.368.Keywords: age; learning outcomes; work commitment
PENGARUH KOMPETENSI MANAJERIAL TERHADAP HASIL PELATIHAN PESERTA DIKLATPIM III DAN IV TAHUN 2019 DI PUSDIKLAT PEGAWAI KEMENDIKBUD
Authors: Nispiansyah Nispiansyah
Published: February 2025

This study aims to determine the effect of managerial competencies held by participants of PIM Training III and IV, on the results of Level III and IV Leadership Education and Training. The targets of this study were the participants of Training for PIM III and IV for Class 1 of 2019 as many as 22 participants for Training for PIM III, and 20 participants for Training for PIM IV in the Education and Training Center of Ministry of Education and Culture. The instrument used was in the form of a questionnaire compiled by referring to the Regulation of the Minister of Administrative Reform and Bureaucratic Reform of the Republic of Indonesia Number 38 of 2017 Concerning the Competency Standards of the Position of the State Civil Apparatus. The results showed managerial competence had a positive influence on the results of the Training and Education Training III (0.025 <0.05) and the results of the Training Training and Education Training IV (0.035 <0.05). The relationship between managerial competency variables and training outcome variables in Diklatpim III correlates significantly (p value = 0.05), whereas in Diklatpim IV the relationship between the two variables correlates insignificantly (p value = 0.07). Thus the increase in managerial competence is directly proportional to the improvement in the results of Diklatpim III training. But managerial competency improvement is not directly proportional to the results of Diklatpim IVÂ Â Â  training. The results of Diklatpim III training are influenced by managerial competence by 17.80% while the results of the Diklatpim IV training are influenced by managerial competence by 17.10%. Means that the results of the training of Diklatpim III and IV of Class 1 of 2019 are influenced by other variables outside this study amounting to 82.20% to 82.90%.Keywords: Managerial competence, training results of Diklatpim III and IV, correlation
PENGARUH IMPLEMENTASI SISTEM INFORMASI KEPEGAWAIAN (SIPEG) TERHADAP KINERJA PEGAWAI NEGERI SIPIL DIREKTORAT JENDERAL ENERGI BARU, TERBARUKAN DAN KONSERVASI ENERGI
Authors: Sunarya Risan , Gaol Porman Lumban
Published: February 2025

Tujuan dari penelitian ini adalah untuk mengetahui apakah terdapat pengaruh Sistem Informasi KepegawaianÂ  terhadapÂ  kinerjaÂ  PegawaiÂ  NegeriÂ  SipilÂ  padaÂ  DirektoratÂ  JenderalÂ  EnergiÂ  Baru, Terbarukan dan Konservasi Energi Kementerian Energi dan Sumber Daya Mineral. Secara umum implementasi SIPEG sudah sangat baik dan memiliki kontribusi terhadap pemusatan data dan dokumen kepegawaian yang tersimpan di dalam satu sistem, selain memudahkan pegawai dalam mengakses data dan dokumen, kehadiran pegawai semakin baik dengan diterapkannya Aplikasi SIPEG,Â  namun masih terdapatÂ  beberapa kendala yang harus menjadiÂ  perhatianÂ  oleh pengelola SIPEG, misalnya banyak pegawai yang absensinya tidak terekam pada mesin Finger Print, masih banyak dokumen pegawai yang tidak diserahkan oleh pegawai kepada bagian kepegawaian untuk diupload ke dalam sistem, dan Akun SIPEG pegawai terblokir apabila salah memasukkan User Name atau Password lebih dari tiga kali.Â  Penelitian ini dilakukan dengan menggunakan metode penelitianÂ  deskriptifÂ  komparatifÂ  denganÂ  pendekatanÂ  kualitatif.Â  TeknikÂ  pengumpulanÂ  data berdasarkan hasil wawancara kepada para informan dan studi pustaka. Sedangkan Key Informanyang diwawancarai sebanyak tiga orang. Hasil penelitian ini menemukan bahwa SIPEG berpengaruh dan berkontribusi terhadap kinerja Pegawai Negeri Sipil. SIPEG memberikan efek baik kepada pengembangan pegawai maupun kepada penilaian kinerja. Penelitian ini merekomendasikan agar DirektoratÂ  JenderalÂ  EnergiÂ  Baru,Â  TerbarukanÂ  danÂ  KonservasiÂ  EnergiÂ  dalamÂ  melaksanakan pengelolaan SIPEG memberikan kemudahan akses bagi pegawai, dan menambahkan sarana dan prasarana bagi pengelola kepegawaian untuk proses upload data dan dokumen di aplikasi SIPEG, sehingga dihasilkan data yang cepat dan akurat sesuai dengan kebutuhan pegawai dan organisasi.Kata Kunci: Sistem Informasi Kepegawaian dan Kinerja Pegawai Negeri Sipil.
PENERAPAN MODEL PEMBELAJARAN CONTEXTUAL TEACHING AND LEARNING (CTL) DAN MODUL UNTUK MENINGKATKAN HASIL BELAJAR PESERTA DIKLAT GURU BIOLOGI SMK DI PPPPTK PERTANIAN CIANJUR
Authors: Wisnuwati Wisnuwati
Published: February 2025

Penelitian ini bertujuan untuk meningkatkan hasil belajar peserta diklat Guru Biologi pada materi Pertumbuhan dan Perkembangan Tumbuhan, Hewan serta Faktor-faktor yang Mempengaruhinya melalui penerapan model pembelajaran CTL (Contextual Teaching and Learning) dengan menggunakan modul. Dalam kegiatan penelitian ini menggunakan Penelitian Tindakan Kediklatan/Kelas dan dilaksanakan dalam dua siklus. Siklus pertama dilaksanakan sesuai dengan kondisi hasil pre tes, dan menggunakan modul I (Pertumbuhan dan Perkembangan Tumbuhan dan Faktor yang Mempengaruhinya) dan pada Siklus kedua dilaksanakan untuk memperbaiki hasil pembelajaran yang masih kurang baik pada siklus pertama dengan menggunakan modul kedua (Pertumbuhan dan Perkembangan Hewan dan Faktor yang Mempengaruhinya). Hasil penelitian ini menunjukkan peningkatan sebagai berikut; (1) untukÂ  keterampilan peserta diklat (guru) pada siklus I diperoleh skor total sebesar 26, nilai rata-rata 2,88, dan kategori baik,Â  dan pada siklus II meningkat denganÂ  total skor 34, nilai rata-rata 3,77 dan kategori sangat baik; (2) Aktivitas peserta diklat (guru) meningkat dari nilai rata-rata pada siklus I sebesar 2,88 dengan kategori baik, naik menjadi 3,96 dengan kategori sangat baik pada siklus II ; (3) Hasil belajar peserta diklat (guru) pada siklus I dari nilai rata-rata 72,8, nilai minimum 60, nilai maksimum 96, dengan kategori baik, jumlah peserta diklat yang kompeten 18, dan 2 orang tidak kompeten, dan persentase peserta diklat yang kompetens sebesar 90%, meningkatÂ  pada siklus II menjadi nilai rata-rata 93,6, nilai minimum 84,0, nilai maksimum 100, dengan kategori sangat baik, jumlah peserta diklat yang kompeten 20 orang, jumlah peserta diklat yang tidak kompeten 0 orang, dan persentase yang kompeten 100%. Sehingga dapat disimpulkan bahwa dengan menggunakan Model Pembelajaran Kontekstual, hasil hasil pembelajaran meningkat dan proses pembelajaran menjadi sangat efektif.Kata Kunci: Model Pembelajaran Kontekstual, Penelitian Tindakan Kelas/Kediklatan, Siklus
PRESTASI KERJA FUNGSIONAL PELAKSANA KEPEGAWAIAN DI SUBBAGIAN TATA USAHA SATUAN POLISI PAMONG PRAJA KOTA ADMINISTRASI JAKARTA PUSAT
Authors: Pambudi Joko , Tumanggor Budi Fernando
Published: February 2025

Penelitian ini bertujuan untuk mengetahui bagaimana â€œPrestasi Kerja Fungsional Pelaksana Kepegawaian Di Subbagian Tata Usaha Satuan Polisi Pamong Praja Kota Administrasi Jakarta Pusatâ€. Fokus permasalahan adalah bagaimana prestasi kerja fungsional pelaksana kepegawaian di Subbagian Tata Usaha Satuan Polisi Pamong Praja Kota Administrasi Jakarta Pusat ditinjau dari tiga aspek penilaian prestasi kerja Pegawai Negeri Sipil menurut Peraturan Pemerintah Republik Indonesia Nomor 46 tahun 2011 Tentang Penilaian Prestasi Kerja Pegawai Negeri Sipil. Metode penelitian yang digunakan adalah metode deskriptif kualitatif, sedangkan yang menjadi instrumen pengumpulan data utama adalah wawancara dengan teknik purposive yaitu kepada orang tertentu disesuaikan dengan informasi yang dibutuhkan, disamping itu penulis juga melakukan telaah dokumen. Penilaian prestasi kerja fungsional pelaksana kepegawaian di Subbagian Tata Usaha Satuan Polisi Pamong Praja Kota Administrasi Jakarta Pusat, dinilai dari beberapa aspek yang meliputi: aspek integritas, aspek disiplin, dan aspek kerjasama. Secara umum prestasi kerja fungsional pelaksana kepegawaian di Subbagian Tata Usaha Satuan Polisi Pamong Praja Kota Administrasi Jakarta Pusat sudah cukup baik walaupun masih belum optimal di beberapa aspek misalnya aspek integritas dan aspek disiplin.Kata Kunci: Prestasi kerja, Fungsional Pelaksana, Subbagian Tata Usaha
PENGARUH PERSEPSI JOB DESCRIPTION TERHADAP KINERJA KARYAWAN PADA DIREKTORAT JENDERAL PENGUATAN INOVASI KEMENTERIAN RISET DAN TEKNOLOGI/BRIN
Authors: Putri Ningrum Widya , Gaol Porman Lumban
Published: February 2025

Tujuan penelitian ini adalah untuk mengetahui pengaruh Persepsi job description terhadap kinerja pegawai pada Direktorat Jenderal Penguatan Inovasi/BRIN dan untuk mengetahui kontribusi Job Description terhadap kinerja karyawan pada Direktorat Jenderal Penguatan Inovasi/BRIN. Job description atau uraian pekerjaan sangat diperlukan dalam setiap instansi, perusahaan maupun dalam organisasi. Penguatan inovasi dan manajemen karir menjadi manfaat dalam penelitian ini, variabel bebas dalam penelitian ini adalah job description, sedangkan variabel terikatnya adalah kinerja karyawan. Sampel dalam penelitian ini adalah pegawai pada Direktorat Jenderal Penguatan Inovasi/BRIN berjumlah 75 orang. Metode pengumpulan data dilakukan dengan menggunakan teknik random sampling dengan menyebarkan kuesioner. Data diuji menggunakan regresi linear sederhana. Hasil penelitian menunjukkan terdapat pengaruh positif dan signifikan antara job description terhadap kinerja pegawai pada Direktorat Jenderal Penguatan Inovasi/BRIN nilai T-statistik sebesar 10.495 dan memiliki kontribusi yang cukup baik dilihat dari T-statistik yang tinggi dan pernyataan responden yang memiliki nilai rata-rata 4.16.Â  R square sebesar 30.1% yang artinya sebanyak 69.99% kinerja pegawai dipengaruhi oleh faktor lain.Kata Kunci: Job Description, Kinerja
Jalisco a futuro 2012-2032. Construyendo el porvenir. Tomo 2. Naturaleza, medio ambiente, población y territorio
Authors: Curiel Ballesteros Arturo , Canales Cerón Alejandro Isidoro , Vargas Becerra Patricia Noemi , Acosta Silva Adrián
Published: February 2025

Las relaciones entre naturaleza, medio ambiente, población y territorio tienen muchas interconexiones sistémicas. Pero Jalisco experimenta el dislocamiento entre sustentabilidad y gestión medioambiental debido a un crecimiento urbano anárquico. Aunque se han creado organismos, normas e instituciones federales, estatales y municipales que regulan la explotación de los recursos naturales, se sigue deteriorando la calidad de vida de las zonas urbanas y rurales del estado. Para la conservación de los ecosistemas se necesita una cultura ambiental que aliente a los ciudadanos y el gobierno a conseguir la sustentabilidad del territorio en los ámbitos rural y urbano.
La coordinación en el despacho de mercancías del puerto de Manzanillo, México: una propuesta de cambio en la estructura organizacional de los actores portuarios
Authors:   Universidad de Colima, Gutiérrez Ortiz Ariel , Reyes Real Oscar Bernardo ,   Universidad de Colima, Breton Monroy Mauricio ,   Universidad Tecnológica de Manzanillo
Published: February 2025

Ante la intensidad en la dinámica del flujo de mercancías, surge un desajuste importante en la relación entre actores portuarios. Dichas organizaciones les caracteriza cierto nivel de complejidad relacionada con la jerarquía y la división del trabajo. Por tal motivo, la interacción entre actores es desarticulada y esto impacta en la eficiencia del despacho. El objetivo de esta investigación es identificar qué elementos organizacionales influyen en la capacidad de coordinación entre los actores que participan en el despacho de mercancías del puerto de Manzanillo, México. Se realizó una investigación cuantitativa de tipo descriptiva, transversal para recolectar datos sobre las variables para identificar aquellos elementos organizacionales que influyen en la eficiencia del sistema de operación portuaria. Se concluye que tales elementos son; la estructura organizacional, el trabajo en equipo y la comunicación.
El costo de la formalidad: México
Authors:   Universidad de Guadalajara/Jalisco/México, Partida Islas Ricardo Salvador
Published: February 2025

Desde el punto de vista económico, hay dos momentos fundamentales en los que las personas evalúan su inserción en la formalidad: en el acceso y en la permanencia en ella. Este articulo analiza la relación que hay entre el nivel de informalidad en el país y el conjunto de requerimientos que deben de cumplir las personas para adquirir el derecho de llevar a cabo sus actividades económicas dentro de la formalidad y posteriormente el conjunto de requerimientos para conservarse en la formalidad.
Análisis coyuntural financiero de México durante el año 2020
Authors:   Universidad de Guadalajara/Jalisco/México, Luna Pintor Yolanda
Published: February 2025

El presente artículo pretende analizar la coyuntura financiera de México en la actualidad, para explicar mediante una investigación documental si la pandemia por coronavirus –originada en Asia en diciembre de 2019 y propagada en nuestro país en marzo de 2020–, ha sido un factor relevante capaz de acelerar y profundizar aún más la tendencia negativa de crecimiento económico, que dificultará en el corto y mediano plazo, la ardua tarea de lograr un mejor posicionamiento económico en el escenario internacional.
Consideraciones del código de ética en el gobierno corporativo en México
Authors:   Universidad de Guadalajara/Jalisco/México, Rivera Lima Lizette , Pérez Casas Erika Viviana ,   Universidad de Guadalajara/Jalisco/México, Ballesteros Alonso Abraham Emmanuel ,   Universidad de Guadalajara/Jalisco/México
Published: February 2025

Las crecientes obligaciones en México a partir de 2003 de transparencia, información, materialidad de operaciones y cumplimiento normativo de las sociedades mercantiles replantean la realidad jurídica y organizacional de la persona jurídica, lo cual conlleva la adopción de soluciones no sólo desde el plano administrativo, sino también legal. El presente artículo tiene como propósito analizar el código de ética dentro del gobierno corporativo de la sociedad conforme a la legislación vigente a nivel federal en México durante 2021 como medida de control interno y externo. El estudio es de tipo cualitativo con alcance descriptivo realizado a través del método de la hermenéutica jurídica y la técnica de investigación documental. Se concluye que el código de ética es un medio de control interno que a nivel jurídico puede ayudar a la sociedad a disminuir su exposición al riesgo al establecer una guía de acción para las personas que se encuentran en esta así como en sus relaciones con terceros.
CDRmare Insights: Neues Wissen zur CO2-Entnahme durch die Erhöhung der Alkalinität des Meeres: Die sieben wichtigsten Erkenntnisse aus der RETAKE-Forschung
Authors: Löschke Sina , Oschlies Andreas , Boersma Maarten , Fuhr Michael , Hauck Judith , Moosdorf Nils , Strefler Jessica , Rehder Gregor , Riebesell Ulf , Riekhof Marie-Catherine , Suitner Niels , Voss Rüdiger
Published: February 2025

Im CDRmare-Forschungsverbund RETAKE untersuchen Wissenschaftler*innen verschiedene
Verfahren zur Erhöhung des Säurebindungsvermögens (Alkalinität) des Ozeans daraufhin, ob
sie die natürliche Kohlendioxid-Aufnahme des Meerwassers verstärken und welche Risiken
oder positiven Effekte sie möglicherweise nach sich ziehen. Sieben ihrer relevantesten
Forschungsergebnisse stellen wir an dieser Stelle vor.
Agricultural Risk Management and its Impact on Agricultural Companies’ Revenues: Field Study on the Agricultural Sector - Blue Nile region
Authors: MARIAM ADAM OMER BILLY  , NISSREEN OMER REZGALLAH GAMER
Published: February 2025

This study aims to clarify three points, among which are: the agricultural risk management mechanisms that affect the income of agricultural companies, statement of risk management policies that have an impact on the revenues of agricultural companies, explaining how the risks facing agricultural companies in the Blue Nile region are managed and their impact on their revenues. To achieve these goals, the two researchers prepared a questionnaire conducted to a sample of employees and managers working in a number of agricultural companies operating in the Blue Nile Region. The number of the sample to which the questionnaire was distributed to (30 volunteers). After conducting the field study, they came out with the tow hypotheses of the study, in addition to a number of results, the most important of which is that enhancing preparedness and response methods to address agricultural risks to improve the revenues of agricultural companies. First, mapping the risks to which agricultural companies may be exposed to reduce the degree of risk, and the possibility of confronting them if they occur, and gives greater focus to the risks and areas with the highest degree of risk, and companies can be evaluated for their financial and technical ability to confront the risks to which they are exposed. It contributes to raising its response to risk prevention systems and the ability to identify strengths and weaknesses that enable it to overcome these risks when exposed to them. The agricultural sector represents great importance in Sudan in general and in the Blue Nile region in particular, as a large segment of society works in it and finally represents revenues. Agriculture in Sudan is an important activity in the economics of public income, and its importance stems from the fact that it contributes to food security, job opportunities, exports, and the preservation of biodiversity. The two researchers recommend that government agencies specialized in the agricultural sector in the Blue Nile region must work to form an agricultural risk prevention fund because of its significant impact in reducing agricultural risks to which companies operating in this sector may be exposed, in addition to farmers, and on government institutions operating in the agricultural sector. In the Blue Nile Region, governmental institutions working in the agricultural sector to create awareness and guidance bulletins for companies and farmers about the various agricultural risks in the region. The two researchers also recommend the necessity of activating agricultural unions and organizations and urging companies and farmers to join them to help them ward off the risks to which they may be exposed.
Factors Influencing Fintech Adoption Among MSME’s in Bandung West Java Indonesia
Authors: JASF Jimmy Julio Ratu Edo , JASF Abdul Mukti Soma , JASF Palti Marulitua Sitorus
Published: February 2025

The purpose of this study was to identify and quantify the factors impacting the adoption of fintech by micro, small, and medium-sized enterprises (MSMEs) in Bandung. The factors are perceived ease of use, perceived utility, financial literacy, user innovation, government assistance, and trust. Based on the data gathered, this study comprised 356 participants who are either performers or owners of Micro, Small, and Medium Enterprises (MSMEs) in Bandung. The correlation between variables is investigated in this study utilising the Partial Least Squares (PLS) data analysis approaches and SmartPLS v 3.2.9 software. The results of the study show that perceived simplicity of use, perceived usefulness, user innovativeness, and trust all have a major impact on Fintech acceptance. In contrast, financial literacy and government backing have no substantial impact on fintech uptake. This study emphasizes the importance of fintech service providers to prioritize ease of service and build trust..Then the government ought to accelerate the development of information and communication technology (ICT) infrastructure, such as expanding mobile broadband coverage and promoting Fintech companies through advantageous laws. Incorporating financial literacy into the school curriculum may help to reduce information asymmetry and improve financial accessibility, hence promoting the growth of MSMEs.
Sustainability Performance and Companies Financing: Does Audit Quality Matter?
Authors: Rafiuddin Muhammad , Putri Fitri Anisa Nusa , Chen Yuan , Haryono Slamet
Published: February 2025

Public listed companies are increasingly recognizing the importance of corporate social responsibility in their sustainability initiatives. Supporting the stakeholder theory, a commitment for social responsibility activities that reflected by CSR performance as a strategy of firms has created a positive image from stakeholder perceptions. This study examines how corporate social responsibility performance affects companies financing and the role of audit quality. To test the study’s hypotheses, the authors applied linier regressions model on panel data by observing samples of Indonesian Islamic listed companies from 2018 to 2022. The results show that a better CSR performance is associated with lower cost of debt and cost of equity. Moreover, this study also reflect upon the importance of audit quality that proxied by the BIG 4 auditors is found significantly moderates in both cost of debt and cost of equity. Thus, a better corporate social performance with the existence of BIG 4 auditor implies the ability of firms accessing to lower-cost capital by minimized the long term risks. The existence of BIG 4 auditors demonstrated the credibility effective monitoring as a good signals for capital provider or lenders. Our study represents a novelty to enrich the relevant literature on the corporate social responsibility by expanding it towards the role of audit quality on both cost of capital proxies.
Evaluating the Impact of Deep Learning Model Architecture on Sign Language Recognition Accuracy in Low-Resource Context
Authors: Moape Tebatso , Muzambi Absolom , Chimbo Bester
Published: February 2025

Deep learning models are well-known for their reliance on large training datasets to achieve optimal performance for specific tasks. These models have revolutionized the field of machine learning, including achieving high accuracy rates in image classification tasks. As a result, these models have been used for sign language recognition. However, the models often underperform in low-resource contexts. Given the country-specific nature of sign languages, this study examines the effectiveness and performance of Convolutional Neural Networks (CNN), Artificial Neural Networks (ANN), hybrid model (CNN + Recurrent Neural Networks (RNN)), and VGG16 deep learning architectures in recognizing South African Sign Language (SASL) under a data-constrained context. The models were trained and evaluated using a dataset of 12420 training images representing 26 static SASL alphabets, and 4050 validation images. The paper's primary objective is to determine the optimal methods and settings for improving sign recognition models in low-resource contexts. The performance of the models was evaluated across multiple image dimensions trained for 60 epochs to analyze each model's adaptability and efficiency under varying computational parameters. The experiments showed that the ANN and CNN models consistently achieved high accuracy with lower computational requirements, making them well-suited for low-resource contexts.
PENERAPAN METODE USABILITY UNTUK MENENTUKAN TINGKAT KEPUASAN PADA SISTEM MOBILE M-BANKING BRIMO
Authors: Haristina Putri Maulida
Published: February 2025

Penelitian ini bertujuan untuk menganalisis tingkat kepuasan pengguna aplikasi Mobile Mbanking BRImo dengan menggunakan metode usability. Fokus penelitian mencakup aspek usability, yaitu learnability, efficiency, memorability, errors, dan satisfaction. Data diperoleh melalui kuesioner pada 252 responden di Kota Palembang. Hasil penelitian menunjukkan Learnability memiliki communalities 0,599–0,703 dan korelasi 0,432–0,514, sedangkan efficiency mencapai communalities 0,585–0,649 dengan korelasi 0,415–0,550.Sebaliknya, errors berdampak negatif signifikan,dengan korelasi -0,352 hingga -0,488, yang menunjukkan semakin banyak kesalahan, semakin rendah kepuasan pengguna. Memorability menunjukkan nilai communalities antara 0,511 hingga 0,663. Fitur-fitur aplikasi BRImo, seperti efisiensi dalam kecepatan akses transaksi (efficiency_2 dan efficiency_3) yang memiliki korelasi 0,498–0,550, serta kemudahan akses secara keseluruhan (learnability_5) dengan korelasi 0,467, memberikan pengaruh positif terhadap kepuasan pengguna.Masalah teknis seperti bug, crash, dan aplikasi yang lambat berdampak negatif terhadap kepuasan pengguna,dengan errors_5 memiliki communalities rendah 0,445 dan korelasi negatif signifikan -0,382, yang menunjukkan kesalahan teknis sangat memengaruhi pengalaman pengguna.
Integration of Deep Learning Applications and IoT for Smart Healthcare
Authors: Diana Hayder Hussein  , Yousif Mohammed Ismail  , Shavan Askar  , Media Ali Ibrahim
Published: February 2025

The integration of deep learning (DL) applications with the Internet of Things (IoT) has emerged as a transformative approach for advancing smart healthcare systems. This review synthesizes findings from seven research studies, each exploring the intersection of these technologies in improving healthcare delivery, patient monitoring, and medical decision-making. The paper highlights how IoT devices, including sensors and wearables, generate vast amounts of real-time health data, which DL models leverage for predictive analytics, diagnosis, and personalized treatment recommendations. Key areas explored include: Data Acquisition and Processing: IoT-enabled sensors play a critical role in collecting physiological data, such as heart rate, blood pressure, and glucose levels, which are then processed by DL algorithms to identify patterns and anomalies, Remote Patient Monitoring: The combination of IoT and DL facilitates continuous monitoring of chronic conditions and allows for real-time intervention, reducing hospital readmissions and enhancing patient independence.
Crime Link Prediction Across Geographical Location Through Multifaceted Analysis: A Classifier Chain Temporal Feature-Data Frame Joins
Authors: Esan Omobayo , Isaac Olusegun Osunmakinde  , Bester Chimbo
Published: February 2025

Crime link prediction across geographical locations is vital for law enforcement to uncover hidden connections between crime spanning different areas. Traditional  methods often fails to capture the complexity and temporal dynamics of crime data, limiting g their predictive power. This research introduces a novel approach to enhance crime link prediction by leveraging multifaceted analysis  that integrates multiple inputs and outputs. A classifier chain transformation is used for sequential multi-label classification, capturing interdependence between crime types across locations. The method  facilitates a comphrensive understanding of crime patterns over time. Experiment conducted on South Africa Police  Services  (SAPS) crime dataset demonstrate the proposed model's superior performance compared to state-of-the-art methods, achieving precision, recall, F1-score, and accuracy of 0.98, 0.99,0.99, and 98.99%, respectively. This research aims to contribute to crime link prediction model's, offering a more nuanced and robust framework for forensic experts and law enforcement.
Peningkatan Kualitas Data Talent Karyawan pada Human Capital Management PT XYZ
Authors: Sulaeman Achmad Firmansyah , Ruldeviyani Yova
Published: February 2025

Pentingnya data berkualitas baik menjadi prioritas utama bagi Unit Human Capital Management (HCM) PT XYZ dalam mengelola Talent Management, Career Management, dan Employee Performance Management. Berdasarkan hasil audit keamanan informasi, ditemukan beberapa permasalahan, seperti keterlambatan pembaruan data dan ketidaksesuaian data antar fungsi. Untuk mengatasi masalah ini, pengukuran level maturitas Data Quality Management (DQM) diperlukan guna menilai sejauh mana konsistensi, akurasi, dan integritas telah diterapkan. Penelitian ini menerapkan kerangka kerja dari David Loshin, dengan hasil pemetaan yang dianalisis mengacu pada panduan DQM dalam DMBOK.  Hasilnya menunjukkan bahwa level maturitas DQM berada pada level 2 (Repeatable) dengan skor rata-rata 2,3. Tiga dimensi dengan skor terendah menjadi fokus perbaikan utama adalah Data quality Expectations (1.6), Data Quality Protocols (1.8) dan Data Quality Technology (1.2). Rekomendasi yang dihasilkan dari penelitian ini berfokus pada peningkatan tiga area utama untuk memperbaiki kualitas data serta mengatasi permasalahan yang ditemukan dalam audit keamanan informasi.
Comprehensive Review of Advanced Machine Learning Strategies for Resource Allocation in Fog Computing Systems
Authors: Abdulwahab Sara , Ibrahim Media , Askar Shavan , Hussien Diana
Published: February 2025

This paper targets the development of advanced machine learning strategies for fog computing systems and is designed to further enhance current mechanisms related to resource allocation. Fog computing represents the extension of cloud facilities to network edges with increased data processing, allowing minimal latency for applications that need real-time processing. This is a review underlining deep learning as one of the basic tools through which neural networks predict the resource usage and optimization of resource allocation with its dynamic adaptation to modifications within the network conditions. The paper reviews techniques such as Convolutional Neural Networks, Recurrent Neural Networks, and Generative Adversarial Networks that are explored for their roles in enhancing efficiency, privacy, and responsiveness within the realm of distributed environments. These findings reveal that deep learning significantly enhances operational performance, reduces latency, and strengthens security in fog networks. By processing data locally and autonomously managing resources, these strategies ensure efficient handling of diverse and dynamic demands. It concludes that the integration of machine learning into fog computing forms a scalable and robust framework toward meeting modern challenges imposed by digital ecosystems, enabling smarter real-time decision-making systems at the edge.
Sentiment Analysis of Public Responses Regarding The Use of Electric Cars in Indonesia with Support Vector Machine and Random Forest Methods
Authors: Seraphina Yessica Anglila , Gunawan Putu Harry
Published: February 2025

The diminishing use of fossil fuels has encouraged the search for alternative energy sources, one of which is the electric car. However, public acceptance of electric cars in Indonesia is not widely understood. This study aims to analyze public sentiment towards electric cars based on data from X social media. The dataset used consists of 3,450 data, which is analyzed using two machine learning methods, namely Support Vector Machine (SVM) and Random Forest. The research was conducted in three scenarios: SVM kernel comparison, Random Forest performance evaluation with various numbers of n-estimators (1, 10, 100), and performance comparison between the two methods. The experimental results show that Random Forest with 100 n-estimators produces the highest accuracy of 90.72% and F1-Score of 87.54%, while SVM with RBF kernel produces 89.35% accuracy and F1-Score of 85.15%. The performance difference of 1.37% shows that Random Forest is more effective in this sentiment analysis
Kinematics Analysis of Articulated Robot
Authors: Mon Mon Thae
Published: February 2025

Robot technology is applied to support the farmers in various stages, from seeding and farm maintenance to harvesting and packaging agricultural products. The purpose of this paper is to analyze the kinematic modeling of an articulated robot that can be used for sorting mangoes based on their weight. Two methods are used to analyze the robot arm: forward and inverse kinematics. The DH method is employed to analyze both forward and inverse kinematics in this paper. Transformation matrices for each joint were obtained using the DH method to derive the forward kinematics results. For inverse kinematics, a geometric approach is presented to determine the joint angles. A graphical user interface (GUI) is used to control the articulated robot. The results are validated by comparing the calculated outcomes with the Robo-Analyzer results. In this analysis, the articulated robot's accuracy was investigated by repeating the same predetermined movement and measuring the error. After implementing the articulated robot, an experimental results were obtained to measure the accuracy and repeatability of its performance. At the end of the experimental results, the highest positioning error of the articulated robot is 1.7205 mm, and the lowest positioning error is 0.2 mm, depending on the five predetermined positions.
Machine Learning for Network Anomaly Detection A Review
Authors: Mahmood Nawzad Hamad , Diana Hayder Hussein  , Shavan Askar  , Media Ali Ibrahim
Published: February 2025

This research aims to investigate the application of machine learning (ML) techniques in network anomaly detection to enhance security in the face of evolving cyber threats. Employing a systematic review of existing literature and experimental evaluation, the study explores the effectiveness of various ML algorithms and their capacity to detect anomalies in network traffic. Unlike traditional rule-based methods, ML algorithms analyze extensive traffic data to distinguish normal from abnormal behavior, adapting dynamically to new threats in real-time. Key methodologies include feature engineering to optimize model performance, focusing on attributes like packet size and flow duration. The research evaluates detection accuracy, reduction of false positives, and the adaptability of ML-based systems to changing conditions. Main outcomes demonstrate that ML offers significant advantages over heuristic approaches, with improved detection rates, minimized human intervention, and enhanced responsiveness to emerging threats. The findings underscore the importance of real-time detection capabilities and highlight challenges such as computational complexity and dataset quality. By addressing these challenges, the study contributes valuable insights into strengthening network defense mechanisms through advanced ML applications.
Peran Kelompok Tani dalam Program Kemitraan Konservasi secara Syariah pada Balai Besar Taman Nasional Gunung Leuser
Authors: Andi Fauzan R. Pohan  , Muhammad Zainal Abidin
Published: February 2025

This research aims to determine the role of the Conservation Forest Farmer Group (KTHK) in the conservation partnership program and the income level of the Conservation Forest Farmer Group (KTHK) in Gumpang Lempuh Village, Putri Betung District, Gayo Lues Regency. The results of the research show that there is a very significant role of farming communities who are members of the Conservation Forest Farmers Group (KTHK), there is a high active role of participation from farming communities who are members of KTHK in the implementation stages of the conservation partnership program in Gumpang Lempuh village, Putri Betung District, Gayo Regency Lues. The results of this research show a very significant role from members of the Conservation Forest Farmers Group (KTHK) in Gumpang Lempuh Village, Putri Betung District, Gayo Lues Regency in the program. This is evident from the data obtained in the field at each stage of the conservation partnership program in Gumpang Lempuh Village, Putri Betung District, Gayo Lues Regency, which is very high. The five types of forestry commodities that have been produced by the Geumpang Lempuh Village Conservation Forest Farmers Group in this partnership program include chilies, cocoa, candlenuts, bananas and ginger.
Pengaruh Komite Audit dan Kepemilikan Institusional terhadap Financial Distress
Authors: Siti Muthia Hanif Robbani  , Ferdiansyah Ritonga
Published: February 2025

The aim of this research is to find out how institutional ownership and audit committees influence financial distress. Manufacturing companies in the industrial sector are the research population for the period 2018-2022. This research methodology uses a purposive sampling approach with a sample of 26 companies and a total of 130 financial reports. Multiple linear regression was used to analyze the data using the E-Views test. Based on research findings, institutional ownership has no effect on financial distress, but the audit committee has an effect on financial distress. The limitation of this research is the limited research sample because it was only carried out on industrial sector manufacturing companies listed on the Indonesia Stock Exchange (BEI) which was carried out for 5 years, namely from 2018-2022, then this research only used two variables, namely the audit committee and institutional ownership. . Suggestions for further research are expected to be able to add or expand the sectors studied or to add longer years of research. And it is hoped that further research will be able to measure financial distress using different models. Then, it is hoped that for companies it can be an illustration, especially for companies experiencing financial distress, to pay more attention to their finances.
Memaknai Laba Bagi Petani dan Tengkulak Garam Madura
Authors: Nasifa  , Emilia Sula Atik
Published: February 2025

This study aims to determine the differences in the meaning of profit for Madura salt farmers and middlemen. The location of the research was Pangarengan District, Sampang Regency. This research uses a qualitative approach. Informants in this study are a number of salt farmers who manage their own land and salt middlemen in Pengarengan sub-district, where both parties have experienced in the field of salt production and distribution for more than two years. Data analysis in this study uses systematic data analysis with several steps, namely data reduction, data presentation and conclusion drawing. The results showed that the meaning of profit for farmers and middlemen is not much different, namely getting as much profit as possible but has different purposes of use. According to salt farmers, profit is used to fulfill daily needs and pay debts, while according to middlemen, profit is used to develop business and improve economic standards
Manajemen Parkir dan Dampaknya terhadap Peningkatan Pendapatan Asli Daerah Kabupaten Aceh Tamiang
Authors: Junita Afrah , Muhammad Ridla  , Agus Putra AS  , Junita Safitri  , Muhammad Salman
Published: February 2025

The aim of the research is to identify, inventory and assess parking problems and their impact on increasing PAD in Aceh Tamiang Regency. The research method used is a qualitative method. Data was collected through observations and in-depth interviews, informants were determined based on the suitability of research indicators. The location of research is the Aceh Tamiang. The results explain that the Aceh Tamiang Regional Government is currently still hampered by several things, such as the lack of strong human resources for collecting and managing taxes and levies in each regional apparatus; there is still resistance, both active and passive, from parking attendants; the database is incomplete and requires further improvement and there is no regular evaluation of the development of potential parking levies that have been managed by the government or levies that have the potential to become a source of new regional revenue.
Memotret Intagible Assets di Desa Tambakrejo dalam Mewujudkan SDG’S: Perspektif Human Capital
Authors: Mahanani Qory Satiti , Mudrifah Mudrifah , Irawan Dwi
Published: February 2025

This study aims to reveal how the role of the Tambakrejo Village government in implementing human capital in village development to support village SDGs. This research uses a descriptive qualitative approach in describing the implementation of human capital with data analysis techniques that refer to the Miles and Huberman model. Data were collected using documentation techniques and semi-structured interviews to measure the depth of information with informants. The informants of this research are Tambakrejo Village officials. The results of this study indicate that Tambakrejo Village has the ability to realize village development that can support village SDGs, especially in the indicators of quality village education (SDG's goal 4) and the involvement of village women (SDG's goal 5). Although not yet fully optimized, this ability is motivated by the motivation of the village government in transferring their skills and knowledge to provide the best service to support sustainable development for their community. The contribution of this research is to provide insight in mapping the potential to support the achievement of village SDGs. This study has limitations where researchers only focus on one component of IC, namely human capital. So that future researchers can add other IC components such as structural capital and relationship capital.
Pemetaan Faktor Sosial-Ekonomi Penyebab Stunting di Kabupaten Aceh Timur
Authors: Puti Andiny  , Afrah Junita  , Tuti Meutia  , Umi Sefiana Barokatul Aulia
Published: February 2025

The objective of the research is to identify and map socioeconomic factors that influence stunting rates in children in East Aceh Regency. The analytical method utilized is descriptive qualitative, utilizing interview techniques. The interviewees for this study were nutrition officers from community health centers located in each sub-district of East Aceh Regency. According to the study's findings, the factors that contribute to stunting are 1) a lack of parental understanding of the risk of stunting and the period of the First 1000 Days of Life, which has an impact on poor consumption patterns during pregnancy and parenting patterns for children, 2) family economic factors or low income levels among parents, and 3) a lack of access to health services. The limitation of this research is that researchers were unable to access all community health centers in East Aceh Regency due to logistical problems. It is hoped that future researchers would be able to conduct study in all health facilities in every sub-district of East Aceh Regency in order to create a map of the causes that cause stunting, which will be valuable in developing appropriate strategies for conquering stunting in the region
Optimalisasi Struktur Modal Dengan Trade Off Theory Pada Bank Umum Syariah
Authors: Budi Gautama Siregar  , Muhammad Salman  , Aswadi Lubis
Published: February 2025

This study aims to evaluate PT's financial performance. Bank Mega Syariah through liquidity ratio analysis with the Financing to Deposit Ratio (FDR), Capital Adequacy Ratio (CAR), Return on Assets (ROA), and Return on Equity (ROE) approaches. This research is descriptive quantitative, where the data is analyzed, and the results are described to provide an overview of the bank's financial performance. The data used is secondary data from PT's financial statements. Bank Mega Syariah for the period 2013-2021. The results show that the financing-to-deposit ratio (FDR) has fluctuated, with the highest levels in the second and third quarters of 2015, at 104.19% and 102.89%, respectively. Based on the analysis of the Capital Adequacy Ratio (CAR), PT. Bank Mega Syariah shows excellent capital. The ROA study shows several periods that are considered unhealthy based on Bank Indonesia standards, namely in the third and fourth quarters of 2016, 2017, and the fourth quarter of 2021. ROA describes the ability of PT. Bank Mega Syariah is making profits from its assets. Meanwhile, the ROE analysis shows that the condition of PT. Bank Mega Syariah is included in the unhealthy category. This research only focuses on the study of liquidity, solvency, and profitability ratios, so there is still an opportunity for further research that can explore other aspects, such as profitability, growth, or the application of a balanced scorecard.