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Penerapan Akuntansi Investasi Jangka Panjang Pada Pemerintah Daerah Kabupaten Sleman Tahun Anggaran 2016 Siswanto Siswanto; Alfiani Purnama Dewi Dewi
SUBSTANSI Vol 2 No 2 (2018)
Publisher : Politeknik Keuangan Negara STAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (848.668 KB) | DOI: 10.35837/subs.v2i2.316

Abstract

Penelitian ini bertujuan untuk mengetahui proses bisnis terkait implementasi akuntansi investasi Pemerintah Kabupaten Sleman. Mulai dari perolehan investasi, pengakuan investasi, pengukuran investasi, dan metode untuk menilai investasi. Selain itu juga terkait akuntansi atas hasil investasinya. Hasil penelitian ini menunjukkan bahwa dalam proses implementasi akuntansi investasi Pemerintah Kabupaten Sleman secara umum sudah sesuai dengan ketentuan peraturan perundang-undangan namun dalam pengungkapannya masih terdapat hal-hal yang belum dijelaskan secara rinci
A Decision Support System for Giving Used Car Loans Using the AHP Method at PT.Batavia Prosperindo Finance Tbk Anggit Permana; Siswanto Siswanto; Rizka Tri Alinse
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.1018

Abstract

Batavia Prosperindo Finance Tbk is one of the companies engaged in the financing of four-wheeled vehicles. The large number of requests for used car loans requires credit financing companies to make decisions quickly and accurately, previously the process of determining creditworthiness by the company was still using the manual method, so it did not rule out the possibility of miscalculations and errors in reading credit granting data. With these problems, a special application is needed that can assist companies in making decisions using the AHP method to determine creditworthiness quickly and accurately. The AHP (Analytical Hierarchy Process) method is one method to help develop a priority from various options using several criteria (multi criteria). Due to its multi-criteria nature, AHP is quite widely used in setting priorities. With this assessment pattern, the cases found at PT. BPF Bengkulu is very suitable when using this method in solving the problem of providing used car loans. From the results of research conducted by the AHP method, it is able to solve problems in the feasibility of giving used car loans using predetermined criteria and sub-criteria, resulting in a final score with the highest score of 0,458273 and the lowest score of 0,133065 and those eligible for used car loans. there are 3 people and 1 people don't deserve to be accepted.
Teknik Bermain Kertas untuk Meningkatkan Prestasi Belajar Matematika tentang Bilangan Pecahan pada Siswa Kelas IV Sekolah Dasar Siswanto Siswanto
Social, Humanities, and Educational Studies (SHES): Conference Series Vol 5 (2022): Social, Humanities, and Educational Studies (SHEs): Conference Series (Special Issue 2
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/shes.v5i6.81193

Abstract

The identification results that have been obtained show that there are several problems in the learning process. The things that cause problems are that teachers have not used appropriate learning techniques/strategies, teacher explanations are less interesting so students feel bored, learning is still dominated by teachers, teachers have not used the right learning media, teachers are lacking in providing motivation to students. . From the results of the problem analysis above, the researcher created Classroom Action Research which aims to improve the quality of learning. After the researchers carried out a series of classroom action research activities, the following results were obtained: the paper playing technique can improve the learning achievement of class IV students at SD Negeri 2 Nanggulan in mathematics lesson material about fractions. This can be seen from the following description: before the revision, 33.33% of students had completed the KKM and 66.67% of students had not completed the KKM; implementation of cycle I, 58.33% of students completed the KKM and 31.67% of students had not completed the KKM, implementation of the cycle, 91.67% of students had completed the KKM and 8.33% of students had not completed the KKM. With paper playing techniques, students' interest and enthusiasm for learning mathematics increases. Paper playing techniques can also increase students' learning motivation.
Pendampingan Advokasi Hak Kesehatan Terhadap Korban Pelanggaran HAM Berat Lansia Tahun 1965 di FOPPERHAM Yogyakarta. Nirwani Mintanawati; Siswanto Siswanto
Al-I'timad: Jurnal Dakwah dan Pengembangan Masyarakat Islam Vol 1 No 2 (2023): Oktober 2023
Publisher : Mafa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35878/alitimad.v1i2.726

Abstract

The purpose of the study are to find out which way done fopperham advocacy and shape the success of done fopperham 1965 human rights to the victim. The research is research field research namely research who takes primary data in the field, in the location. Studi field work was carried out by selecting fopperham institutions in Yogyakarta. While the types and approach research used in this research was descriptive qualitative, because in this research produce conclusions in the form of who described in detail, which is in the form the figures is not data. The result of the research indicated. First, violations of human rights on a victim advocacy fopperham heavy 1965 it can be seen from a number of ways, ranging from reading park give education, give the shape of advocacy of a policy of, and give the shape of health services. Second, the form of the success of fopperham in engage in advocacy of clients can be seen from micro approach, mezzo, and macro.It is held to find out the form of the success of conducted by fopperham.
Comparative Analysis of Ridge, LASSO, and Elastic Net Regularization Approaches in Handling Multicollinearity for Infant Mortality Data in South Sulawesi Arief Rahman Nur; Andi Kresna Jaya; Siswanto Siswanto
Jurnal Matematika, Statistika dan Komputasi Vol. 20 No. 2 (2024): JANUARY 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v20i2.31632

Abstract

Infant mortality rate is a crucial indicator for assessing the health and infant care quality in a region. In the effort to reduce infant mortality rates, regression analysis serves as a tool to identify influential factors. However, regression analysis often encounters the challenge of multicollinearity, which involves high correlation among predictor variables. To address this issue, various regularization techniques can be applied, such as ridge regression, least absolute shrinkage and selection operator (LASSO), and elastic net. Ridge regression aims to control coefficient variance, while LASSO directs some coefficients to zero, functioning as variable selection. Elastic net combines the strengths of both methods by merging ridge and LASSO regularization. The objective of this research is to evaluate the performance of ridge regression, elastic net, and LASSO methods in handling multicollinearity issues, utilizing infant mortality rate data in South Sulawesi Province. The results indicate that the elastic net method outperforms both Ridge and LASSO methods. The best-performing model is obtained through elastic net with a coefficient of determination value of 60.81%, whereas ridge and LASSO methods yield coefficient of determination values of 54.11% and 58.18%, respectively. This demonstrates that the application of the elastic net method is capable of producing more accurate results in modeling the variables within the analysis of infant mortality rate data compared to other methods.
EXPLORATION OF AMPLITUDE CODING CAPACITIES FOR Q-ML MODEL Unang Achlison; Dendy Kurniawan; Toni Wijanarko Adi Putra; Siswanto Siswanto
Journal of Engineering, Electrical and Informatics Vol 2 No 3 (2022): Oktober: Journal of Engineering, Electrical and Informatics:
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i3.916

Abstract

Quantum computing implements computation adopting environmental phantasm and the foundation of quantum mechanics to clear up the issues. This design of calculation has been demonstrated to serve the acceleration of some modern processing issues. Current evolution in quantum technology is emerging, and the application of learning design to this current instrument is developing. With enough prospects, the application of quantum development in the area of Machine Learning has come clear. This research develops a TensorFlow Quantum (TF-Q) software framework model for machine learning functions. The two models advanced the application of material coding techniques from amplitude coding to constructing a case in the quantum learning model. This study aimed to explore the scope of amplitude coding to serve enhanced case establishment in learning techniques and in-depth investigation of data sets that bring insight into the practice data adopting the “Variational Quantum Classifier” (VQ-C). The emergence of this current method raises the investigation of how best this tool can be adopted, the aim is to provide several analysis explanations for the element of quantum machine learning that can be applied given the constraints of the actual device. The results of this study indicate there are clear advantages to adopting amplitude coding over another technique as demonstrated by adopting the combination of quantum-humanistic neural networks in TF-Q. In addition, the different preprocessing steps can generate more aspect-affluent data while using VQ-C the no-charge lunch assumption dominance for quantum learning technique for humanistic models. The material even though conceal in quantum by unadvanced data preparation steps but involves new ways of understanding and appreciating these new methods. Future studies will lack expansion into multi-type of analysis models that are sufficiently advanced to be relevant in work similar to this.
Manajemen Kecerdasan Budaya Dalam Pengembangan Industri di Bidang Pariwisata Eka Satria Wibawa; Siswanto Siswanto
Dinamika: Jurnal Manajemen Sosial Ekonomi Vol 1 No 2 (2021): DINAMIKA : Jurnal Manajemen Sosial Ekonomi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/dinamika.v1i2.5

Abstract

This study explains the concept of intelligence in modern management. In this ever-evolving world technology, companies must be competitive and develop innovatively to face technological globalization. In achieving a high level of competence and competitiveness, companies or organizations need to deepen their cultural and professional knowledge in offering the best products and services and to build loyal relationships to consumers. This study focuses on the role of cultural intelligence in maximizing the effectiveness of supply in various cultural contexts and changing consumption interests. In fact, cultural intelligence provides information about an individual's ability to cope with multicultural situations. Take part in multicultural and cultural, and in culturally diverse working groups. Organizational success in determining management and selecting cultural intelligence will benefit the tourism sector with economic and more competitive advantages. Researchers find ideas in all their complexities into one package that includes the world of culture in the concept, and between cultures as a relational concept.
Penggunaan Model Deep Learning Untuk Meningkatkan Efisiensi Dalam Aplikasi Machine Learning Siswanto Siswanto; Maya Utami Dewi; Siti Kholifah; Greget Widhiati; Widya Aryani
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 1 No. 4 (2023): NOVEMBER : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v1i4.1619

Abstract

The use of deep learning models has become a major focus in optimizing the efficiency of machine learning applications. This research discusses various deep learning models that can be applied to improve efficiency in the context of machine learning applications. These models are designed to handle the complexity of machine learning tasks with a high level of accuracy while still considering aspects of computational efficiency. This article involves an in-depth look at several deep learning models that have proven effective in various application domains. Discussion includes the use of convolutional neural network (CNNs) models for image processing, recurrent neural networks (RNNs) for sequential data, and transformer-based models for natural language processing tasks. In addition, deep learning model tuning and optimization strategies, such as pruning and quantization, are also discussed to improve the efficient use of computing resources. This research identifies challenges and opportunities in integrating these deep learning models into machine learning applications with maximum efficiency. By considering the need for accuracy and limited computational resources, this research provides a holistic view of the approaches that can be applied to deal with complexity in diverse machine learning scenarios. The results are expected to provide a significant contribution to the development of efficient and effective machine learning applications.
Penyuluhan Kesehatan Pada Remaja Putri Tentang Kesehatan Reproduksi Remaja Diana Dayaningsih; Yuni Astuti; Siswanto Siswanto; Galuh Oktaviani; Nadya Tri Yuwinda; Niken Dwi Rahayu; Heru Khoeruddin
ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Vol. 1 No. 3 (2023): Mei : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/aspirasi.v1i3.722

Abstract

Adolescence is a period of human development. Reproductive health in Indonesia which is prioritized only includes four components/programs, namely: maternal and newborn health, family planning, adolescent reproductive health, as well as prevention and control of sexually transmitted diseases (STDs) including HIV/AIDS. The community service that we will carry out refers to the adolescent reproductive health program. Adolescent Reproductive Health is a healthy condition that concerns the reproductive systems, functions and processes of adolescents. The definition of health here does not merely mean being free from disease or free from disability but also being mentally and socially and culturally healthy. Adolescents need to know about reproductive health in order to have correct information about the reproductive process and the various factors that surround it. With the correct information, it is hoped that teenagers will have responsible attitudes and behavior regarding the reproductive process. Adolescent reproductive health problems apart from having a physical impact, can also affect mental and emotional health, economic conditions and social welfare in the long term. Long-term impacts not only affect the teenagers themselves, but also their families, communities and the nation in the end.
SISTEM INFORMASI MANAJEMEN PENGOLAHAN DATA ASET MATERIAL PROMOSI MENGGUNAKAN QR CODE Siswanto Siswanto; Maya Utami Dewi
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 1 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i1.233

Abstract

The development of smartphones today is very rapid and can not be separated in everyday life in finding information or making information and in all fields of work requires communication tools to access data and information, it is no wonder in terms of smartphone work being an inseparable part separate, this research I use smartphone especially Android which is currently one of the operational systems that are commonly used by the public especially Indonesia so that it can be used to help team performance in the field in this case Merchandiser in conducting Data Processing Asset Material Promotion Using Qr Code to monitor and control the allocation of promotional material assets in the field to facilitate reporting of promotional material assets. QR Code is a two-dimensional matrix code or barcode that comes from the word "Quick Response", where the contents of the code can be deciphered quickly and precisely, Optimizing the use of applications in this case QR code to facilitate monitoring and control of promotional materials in the field which will help merchandiser to help make it easier to do work in the field and directly connected to the admin computer at the head office, so it will be easy, fast, and accurate.
Co-Authors Ade Novitasari Agustinus Budi Santoso Ahmad Muhlisin Alfiana Antoh Alfiani Purnama Dewi Dewi Ali Muhson Aliyah Rasyid Baswedan Amanda Tifani Anak Agung Istri Sri Wiadnyani Andi Kresna Jaya Anggit Permana Ani Widayati Anis Aprilia Arief Rahman Nur Asriyadin Asriyadin Azwar Wardiansyah Badrun Kartowagiran Bambang Setyo Panulisan Chellyana Kusuma Wardani Danang Danang Dedy Khaerudin Dendy Kurniawan Dian Normalitasari Purnama Diana Dayaningsih Diva Natasha Putri Donny Lukfiansah Dwi Aryanti Eka Ary Wibawa Eka Satria Wibawa Erni Maulidiawati F Fajarudin Filma Anggraini Galuh Oktaviani Greget Widhiati Heni Susilowati Heru Khoeruddin Indah Yuliana Ismani Ismani Jordan Napitupulu Laksmita Rosa Lutfi Anggraini M Murni M. Abdul Rohman Kartanagara Maya Utami Dewi Maya Utami Dewi Merinda Noorma Novida Siregar‬ Moch. Malik Al Firdaus Mochammad Imron Awalludin Muhamad Djazuli Nadya Tri Yuwinda Ngadirin Setiawan Nia Puspita Dewi Niken Dwi Rahayu Niken Purnamasari Nirwani Mintanawati Nurman Efrinson Tamba Puspita Aryani Rahma Sangkut Ramaita Ramaita Riko Firmansyah Ristiana Dwi Lestari Rizka Tri Alinse Rizqi Ilyasa Aghni Rosidah Rosidah Shazia Malik SITI KHOLIFAH Sondang Suriati Sri Haryati Sri Wahyuni Su-Chuan Liu Subali Subali Sukanti Sukanti Sukarno Sukarno Sumarsih Sumarsih Suyanto Suyanto Tasya Fajar Putri Tita Pratama Zebua Toni Wijanarko Adi Putra Unang Achlison Untung Bijaksana Virda Mar’atus Sholichah Wartini Wartini Widya Aryani Wiratno Wiratno Yolla Sukma Handayani Yulu Yanti Sitompul Yundy Hafizrianda YUNI ASTUTI Yusiran Yusiran, Yusiran Zufi Anidzar Arbani