Article Per Year (5 Year)
p-Index From 2021 - 2026
1.066
P-Index
This Author published in this journals
All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Journal of Regional Public Administration The Indonesian Journal of Computer Science Jurnal Serina Abdimas AQUANIPA - Jurnal Ilmu Kelautan dan Perikanan
Denny
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Public Health Social Sciences

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
MUSIC SIMILARITY RANKING: STUDI KASUS FAIRPHONIC Kharisma, Rayhan; Denny
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4298

Abstract

Fairphonic Pte Ltd is a technology company operating in the music sector. Fairphonic provides services to detect content on social media that is suspected of copyright infringement. Fairphonic utilizes audio features for the detection process. The current algorithm used by Fairphonic requires pairwise comparison, and the content to be compared is collected through a scraping process immediately after the process is run. Fairphonic has hundreds of thousands of music data in their database. Fairphonic desires a more scalable algorithm to compare an input music piece with the entire Fairphonic music catalog. This research uses features such as Harmonic Pitch Class Profile (HPCP), Chroma, and Rhythm Pattern. The study compares previously researched algorithms, namely binary similarity matrix, Euclidean distance, and similarity matrix profile. The results show that the combination of HPCP with the binary similarity matrix yields the highest Mean Average Precision of 0.989. Speed testing by performing comparisons 10 times shows that the combination of Chroma and the similarity matrix profile is 72% faster compared to the combination of HPCP with the binary similarity matrix. The author recommends the Chroma and similarity matrix profile algorithm for music similarity ranking due to its faster process.
Optimizing E-Commerce in Indonesia: Ensemble Learning for Predicting Potential Buyers Insani, Faiz Nur Fitrah; Denny
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3690

Abstract

In the competitive Indonesian e-commerce sector, data-driven decisionmaking is crucial for success. This study addresses the challenge faced by a leading e-commerce company, where despite a 134% increase in promotional expenses, active user transactions remained low. Focusing on predicting potential buyers to optimize promotional spending, the research evaluates various ensemble learning methods, including Random Forest, XGBoost, and LightGBM algorithms. Through extensive testing, all three models demonstrated high precision in identifying potential buyers. Remarkably, XGBoost achieved an exceptional precision score of 89.5%. Further enhancement through a soft voting strategy combining XGBoost and LightGBM resulted in the highest precision rate of 89.8%, suggesting a promising approach for targeted marketing and improved promotional strategies in the e-commerce industry
Species Diversity of Trees with Traditional Medicinal Uses: A Core-Buffer Zone Comparison in a Biosphere Reserve Priatna, Dolly; Denny; Monk, Kathryn A; Susilo, Adi; Hartiningtias, Diny
Jurnal Manajemen Hutan Tropika Vol. 31 No. 2 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.2.145

Abstract

Giam Siak Kecil-Bukit Batu, a UNESCO Biosphere Reserve, uses a zoned management approach, including core, buffer, and transition zones. The core zone prioritizes biodiversity conservation, buffer zones mitigate human impacts, and transition zones focus on sustainable development. The diversity and density of medicinal tree species in the core and buffer zones of this reserve were investigated. It was hypothesized that the core zone would support greater diversity and density of medicinal trees than the buffer zone. Standardized plot sampling was conducted using 1-ha plots, each subdivided into 25 subplots (20 m × 20 m). Trees with a diameter at breast height exceeding 10 cm were inventoried, measured, and identified, with voucher specimens collected for herbarium confirmation. A total of 52 medicinal tree species from 27 families and 36 genera were recorded. Species richness was higher in the buffer zone (39 species) than in the core zone (29 species). These findings underscore the ecological significance of buffer zones in conserving medicinal tree diversity and providing sustainable resources for local communities. The observed species richness in the buffer zone challenges the conventional assumption that core zones harbor higher biodiversity, highlighting the need for further research on sustainable resource management in buffer zones.
Prediksi Penempatan Pegawai Menggunakan Algoritma Supervised Machine Learning dan Rules Based Experts: Studi Kasus di Institusi Pendidikan Romdhoni, Bayu Suciono; Denny
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4120

Abstract

Education plays a crucial role in shaping the future of a nation. To maintain the quality of education, effective human resource management is essential in educational institutions. This study addresses the challenges of employee’s placement under the Educational Institution. According data from December 2021 to May 2024, only 2,452 out of 41,722 employees were reassignment, which is significantly below the target set by regulation. This study evaluates several supervised machine learning algorithms, including Gaussian Naive Bayes, Decision Tree, Support Vector Machine, and Random Forest. Random Forest emerges as the most suitable algorithm due to its superior accuracy, precision, recall, and F1 Score. Following the evaluation of the chosen algorithm, the deployment phase includes comprehensive data preprocessing steps, such as handling missing values, data normalization, and categorical feature encoding. This system integrates with Google API for geospatial data, ensuring accurate and efficient decision-making.
TRANSAKSI KAS DAN BANK DENGAN SOFTWARE ACCURATE BAGI SMA KRISTOFORUS 1 Verawati; Denny; Jeferry C
Jurnal Serina Abdimas Vol 2 No 2 (2024): Jurnal Serina Abdimas
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jsa.v2i2.29284

Abstract

Cash and banks are part of company assets that can be used in operational activities to earn profits. Good management of cash and banks can show the certainty of company's cash flow in the future. Therefore, accurate and precise accounting records are needed for every transaction related to cash and banks. The use of trusted accounting software is necessary to make it easier to record company transactions in order to produce reliable reports. Apart from that, the skills of human resources who operate accounting software also need to be trained and improved. The problem faced by Kristoforus 1 High School is that they want to provide accounting software skills related to cash and bank transactions to students who take accounting extracurriculars. The solution provided by the PKM team is to provide cash and bank transaction training using Accurate software. The training was carried out face-to-face at the computer room of Kristoforus 1 High School on 17 and 22 November 2023. The material presented included theory about cash and banks, then followed by cash and bank transactions that were directly inputted into Accurate software. The training activities went well, where students participated actively, understood the material provided, and were able to answer the quiz questions given correctly.
PENGARUH DISIPLIN KERJA TERHADAP PRODUKTIVITAS KERJA PEGAWAI DI KANTOR KECAMATAN SUMEDANG SELATAN KABUPATEN SUMEDANG Fathoni, Abdurrahmat; Hendryawan, Shofwan; Arifin, Ari; Denny
JRPA - Journal of Regional Public Administration Vol. 4 No. 1 (2019): JRPA - Journal of Regional Public Administration
Publisher : LPPM UNSAP & FISIP UNSAP

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

Abstract

The purpose of the research conducted is to find out the influence of work discipline on work productivity in the South Sumedang District Office of Sumedang Regency and to find out the relationship of work discipline to work productivity in the South Sumedang District Office of Sumedang Regency. The method used in this research is a quantitative research method that is used in research based on the philosophy of positivism with the aim of testing established hypotheses. In this study, researchers used inferential descriptive data analysis techniques to describe or describe the data that has been collected as is by making conclusions that apply to the public. The sampling technique used is a saturated sampling technique, with a population of 27 people. Based on the results of the study, it can be seen that the work discipline in the South Sumedang District Office of Sumedang Regency has reached 79.72% and the figure is categorized as Good, as well as the level of work productivity in the South Sumedang District Office of Sumedang Regency which reaches 81.32% and the figure is categorized as Good. The relationship of work discipline with work productivity in the South Sumedang District Office of Sumedang Regency with a correlation coefficient value of 0.87 is in a very strong category. While the influence of work discipline with work productivity in the South Sumedang District Office of Sumedang Regency reached 62% while the remaining 38% was influenced by other factors that were not studied by researchers called epsilon factor.
Pengaruh Penghasilan Orangtua Nelayan Terhadap Pendidikan Anak (Studi Kasus Anak Nelayan Pole And Line Di Desa Pemana Kabupaten Sikka) Denny; Yohanes D.B.R. Minggo; Erfin
AQUANIPA - Jurnal Ilmu Kelautan dan Perikanan Vol 3 No 2 (2021): AQUANIPA - Jurnal Ilmu Kelautan dan Perikanan
Publisher : Universitas Nusa Nipa

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

Abstract

Tujuan penelitian ini yaitu untuk mengetahui pengaruh penghasilan Orangtua nelayan pole and line terhadap pendidikan anak di Desa Pemana. Metode yang digunakan dalam penelitian ini yaitu metode angket dan metode dokumentasi. Teknik analisis data dalam penelitian ini menggunakan rumus Product Moment. Hasil penelitian menunjukan bahwa harga rxy 1,01 lebih besar dari r tabel 0,35 yakni 1,01 > 0,35 sehingga dapat diketahui bahwa hipotesis alternatif (Ha) dalam penelitian ini diterima, artinya ada Pengaruh Penghasilan Orangtua Nelayan Terhadap Pendidikan Anak Di Desa Pemana Kecamatan Alok Kabupaten Sikka. Selanjutnya untuk mengetahui tingkat pengaruh variabel X terhadap variabel Y, nilai rxy sebesar 1,01 berada diantara 0,80-1,000 sehingga diketahui bahwa ada pengaruh yang sangat kuat antara variabel x (Penghasilan Orangtua) terhadap variabel y (Pendidikan Anak) di Desa Pemana Kecamatan Alok Kabupaten sikka, dimana penghasilan orangtua nelayan memberikan konstribusi terhadap pendidikan anak sebesar 102,01%. Adapun harga t tabel pada taraf signifikasi 5% dengan df= n-2= 20-2= 18 adalah 2,100 lebih kecil dari t hitung 30,390 artinya ada pengaruh yang signifikan pengaruh penghasilan orangtua Nelayan terhadap pendidikan anak.
Co-Authors Adi Susilo Arifin, Ari Dolly Priatna Erfin Fathoni, Abdurrahmat Hartiningtias, Diny Hendryawan, Shofwan Insani, Faiz Nur Fitrah Jeferry C Kharisma, Rayhan Monk, Kathryn A Romdhoni, Bayu Suciono Verawati Yohanes D.B.R. Minggo