Article Per Year (5 Year)
p-Index From 2020 - 2025
3.916
P-Index
This Author published in this journals
All Journal AUSTENIT JIKO (Jurnal Informatika dan Komputer) Al-Madrasah: Jurnal Ilmiah Pendidikan Madrasah Ibtidaiyah Jambura Journal of Informatics Jurnal Ilmiah Manajemen Publik dan Kebijakan Sosial Journal of Sustainable Tourism and Entrepreneurship Jurnal Teknik Informatika (JUTIF) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Valuasi : Jurnal Ilmiah Ilmu Manajemen dan Kewirausahaan JURNAL LENTERA AKUNTANSI Manajemen dan Kewirausahaan Bussman Journal : Indonesian Journal of Business and Management Toba: Journal of Tourism, Hospitality, and Destination Eduvest - Journal of Universal Studies Jurnal Abdimas Sosek (Jurnal Pengabdian dan Pembardayaan Masyarakat) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Ekspresi: Publikasi Kegiatan Pengabdian Indonesia Data : Journal of Information Systems and Management
Harlis Setiyowati
Universitas Pradita
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Neuroscience Social Sciences Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 25 Documents
Search

 1   2   3 
Tantangan Pemimpin Perempuan pada Rehabilitas Narkoba Trisna Health Voluntary Center Tulungagung Harlis Setiyowati; Muhammad Alfathan Harriz; Indah Sulistyoningsih; Nurhaliza Vania Akbariani
Jurnal ilmiah Manajemen Publik dan Kebijakan Sosial Vol 6 No 2 (2022): Jurnal Ilmiah Manajemen Publik dan Kebijakan Sosial
Publisher : Universitas Dr. Soetomo Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/jmnegara.v6i2.5016

Abstract

The success of a female leader will depend on her self-confidence in her abilities and abilities. Women leaders who are business owners often have a strong drive to be able to realize their potential and contribute to society. The Trisna Health Voluntary Center (HVC) Drug Victims Rehabilitation Foundation is run by Mrs. Triswati Sasmito. The HVC Foundation offers social rehabilitation as well as assistance or recovery to substance misuse victims. 1) How to engage and participate in challenges as a female leader is the primary focus of this study. 2) Women leaders' management and implementation of drug rehabilitation initiatives experience. 3) Observe the difficulties faced by female executives in other industries. The conclusions include: 1) How to connect and participate in challenges as a female leader, specifically with a deep touch such that it has a favorable impact on the anticipated results, including speedier recovery and regaining health and even being able to join with family and the local community. 2) The expertise of female company owners in the field of drug rehabilitation, namely in the administration and execution of therapeutic activities utilizing Therapeutic Communities and running Drug Prevention Education (DPE) programs 3) Women leaders in different industries have encountered a variety of difficulties, depending on their respective fields and nations, but they have managed to persevere and keep up their good work. Women still don't participate enough in politics. To donate their own quotas for national growth, it is advised that more women participate.
KOMPARASI ALGORITMA DECISION TREE DAN KNN DALAM MENGKLASIFIKASI DAERAH BERDASARKAN PRODUKSI LISTRIK Muhammad Alfathan Harriz; Harlis Setiyowati
JURNAL INFORMATIKA DAN KOMPUTER Vol 7, No 2 (2023): SEPTEMBER 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v7i2.787

Abstract

Pilihan negara yang sedang tumbuh dan berkembang, memiliki jumlah penduduk yang besar dan luas wilayah yang luas yaitu India sebagai contoh untuk diteliti. Listrik komponen vital dan berperan penting. Peneliti melakukan perbandingan akurasi antara dua algoritma pembelajaran mesin yang populer, yaitu Decision Tree dan KNN (K-Nearest Neighbor). Dataset yang berisi sampel sebanyak 345273 digunakan dan  validasi dengan metode StratifiedKFold sebanyak 33 bagian dilakukan untuk mengevaluasi hasil klasifikasi dari kedua algoritma tersebut. Hasil dari penelitian ini menunjukkan bahwa algoritma Decision Tree yaitu 85.78% dan memiliki akurasi yang lebih tinggi dibandingkan dengan KNN yang memiliki akurasi sebesar 80.34% dalam mengklasifikasi daerah di India berdasarkan produksi listrik yang dihasilkan. Selain itu, temuan lainnya yaitu Decision Tree memiliki waktu komputasi yang lebih cepat yaitu 51.66 detik dibandingkan dengan KNN yang memiliki waktu komputasi sebesar 56.27 detik. Kesimpulan dari penelitian ini adalah bahwa algoritma Decision Tree memiliki akurasi yang lebih tinggi dibandingkan dengan algoritma KNN. Selain itu, Decision Tree juga memiliki waktu komputasi yang lebih cepat. Dengan demikian, algoritma Decision Tree dapat menjadi pilihan yang lebih baik dalam melakukan klasifikasi.
A COMPARISON OF THE NAIVE BAYES AND K-NN ALGORITHMS IN PREDICTING THE FRESHNESS OF MILKFISH AT FISH AUCTIONS Harlis Setiyowati; Hendra Mayatopani; Lilik Hariyanto; Muhammad Alfathan Harriz
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2277

Abstract

This research aims to compare the performance of two machine learning algorithms, Naive Bayes and K-Nearest Neighbors (K-NN), in predicting the freshness of milkfish (Chanos chanos) at fish auctions. Predicting fish freshness is an important aspect to ensure product quality and customer satisfaction. The Naive Bayes algorithm, which is based on Bayes' Theorem with the assumption of independence between features, as well as the K-NN algorithm, which uses an instance-based approach to classify data based on proximity to k nearest neighbors, were implemented and tested. Evaluation is carried out using accuracy and Kappa metrics. The results show that Naive Bayes achieved an accuracy of 73.44% with a Kappa value of 0.594, indicating good performance in predicting the freshness of milkfish. In contrast, K-NN shows an accuracy of 68.75% and a Kappa value of 0.461, which means its performance is lower compared to Naive Bayes. Further analysis revealed that Naive Bayes is more computationally efficient and faster at making predictions, making it better suited for real-time applications at fish auctions. However, Naive Bayes has limitations in assuming feature independence which may not always be true in real-world situations. On the other hand, K-NN although more flexible and capable of capturing complex patterns in data, tends to be slow and requires optimization of parameters such as k values ​​to improve its performance. In conclusion, Naive Bayes is recommended for predicting the freshness of milkfish at fish auctions because of its higher accuracy and reliability. Further research is needed to optimize these two algorithms through parameter adjustments and the use of ensemble methods to improve overall prediction performance.
Analysis of Appropriate Marketing Strategies for Catfish Farming in Duren Mekar Subdistrict as a Contribution to Achieving SDGs for Poverty Alleviation and Increasing Welfare Aprillia Eka Lestari; Harlis Setiyowati
Manajemen dan Kewirausahaan Vol. 4 No. 2 (2023): Manajemen dan Kewirausahaan
Publisher : Manajemen FEB Unima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/mk.v4i2.7773

Abstract

One of the important sources of income in Duren Mekar District, Depok, West Java is catfish cultivation. The harvest is a benefit for the local community. This research aims to analyze the strengths, threats, opportunities, and challenges of catfish cultivation to improve welfare in supporting the achievement of the Sustainable Development Goals (SDGs). Qualitative methods are used with analytical techniques Strengths, Weaknesses, Opportunities, Threats (SWOT), and Analytical Hierarchy Process (AHP) method. The results of the SDG's contribution are SDGs 1 in reducing poverty and SDGs 8 in developing jobs and economic growth. The SWOT results show that its strengths are the ease of cultivating catfish and supporting regional conditions. The opportunities are a high market, low competition, and government policy support that supports economic sustainability. The threat of catfish farming regarding feed prices which tend to be high is the focus so that operational activities can run smoothly. Weaknesses regarding knowledge about online marketing. Meanwhile, the AHP results show that alternative marketing strategies that can be prioritized by catfish farming business actors, both government and private, are maintaining and maintaining the quality of catfish and carrying out maintenance on water ponds with a weight of 0.197 and building large areas of land. Network in marketing catfish with local government or residents with a weight of 0.159. Therefore, there is a need for access to capital from the relevant agencies for operational costs such as catfish feed.
Pengaruh E-Service Quality Terhadap E-loyalty Pada Weverse Shop di Indonesia Melalui E-Satisfaction Dalam Mendukung SDGs Shania Lie; Harlis Setiyowati
Manajemen dan Kewirausahaan Vol. 5 No. 1 (2024): Manajemen & Kewirausahaan
Publisher : Manajemen FEB Unima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/mk.v5i1.8404

Abstract

Weverse shop merupakan aplikasi asal untuk membeli merchandise K-Pop resmi bagi penggemar yang didirikan tahun 2019 dan berada di bawah naungan Hybe Corporation di Korea Selatan. Penelitian ini bertujuan untuk mengetahui pengaruh e-service quality terhadap e-loyalty melalui e-satisfaction pada Weverse Shop di Indonesia periode Januari 2020-2022. Penelitian ini menggunakan ex-post facto dengan pendekatan kuantitatif serta menggunakan teknik Partial Least Square (PLS). Responden yang terlibat adalah 128 responden yang berkriteria telah melakukan pembelian melalui Weverse Shop minimal tiga kali dalam satu tahun. Penelitian menunjukkan bahwa peningkatan pada e-service quality yang baik meningkatkan juga e-satisfaction yang menyebabkan timbulnya e-loyalty konsumen terhadap Weverse Shop di Indonesia dan hal ini berkontribusi bagi terlaksananya tujuan pembangunan berkelanjutan, diantaranya relevan dalam mendukung tujuan SDG 1 (tidak ada kemiskinan), tujuan SDG 8 (pekerjaan layak dan pertumbuhan ekonomi) dimana Weverse shop dapat memberikan peluang ekonomi kepada perorangan maupun UMKM di Indonesia dengan membuat kesempatan untuk membuka lapangan pekerjaan dan turut serta dalam perdagangan elektronik, serta relevan dalam mendukung tujuan SDG 9 (Industri, Inovasi, dan Infrastruktur) dengan menggunakan internet sebagai pendukung untuk membuat inovasi.   Weverse Shop is an application for purchasing official K-Pop merchandise for fans, established in 2019 and operating under the umbrella of Hybe Corporation in South Korea. This research aims to investigate the influence of e-service quality on e-loyalty through e-satisfaction on Weverse Shop in Indonesia during the period from January 2020 to 2022. The study employs an ex post facto design with a quantitative approach and utilizes the Partial Least Square (PLS) technique. The participants in this study are 128 respondents who meet the criteria of having made purchases through Weverse Shop at least three times within one year. The findings indicate that improvements in good e-service quality also enhance e-satisfaction, leading to the emergence of consumer e-loyalty towards Weverse Shop in Indonesia. This contributes to the achievement of sustainable development goals, particularly supporting SDG 1 (no poverty), and SDG 8 (decent work and economic growth) by providing economic opportunities to individuals and SMEs in Indonesia, creating employment opportunities, and participating in electronic commerce. Additionally, it aligns with SDG 9 (industry, innovation, and infrastructure) by utilizing the internet as a support for innovation.
KUNJUNGAN EDUKATIF MAHASISWA PROGRAM STUDI MANAJEMEN RITEL KE MAS MIRACLE FARM TAPOS, DEPOK Harlis Setiyowati; Luh Putu Puji Trisnawati; Muhammad Alfathan Harriz; Nurhaliza vania Akbariani
Jurnal Abdimas Sosek (Jurnal Pengabdian dan Pemberdayaan Masyarakat Sosial Ekonomi) Vol. 4 No. 2 (2024)
Publisher : Departemen Pengabdian Masyarakat Perkumpulan Dosen Manajemen Indonesia (PDMI)

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

Abstract

Kunjungan edukatif mahasiswa Program Studi Manajemen Ritel ke Mas Miracle Farm Tapos, Depok, merupakan inisiatif dalam rangka pengabdian masyarakat yang bertujuan untuk memahami praktik pertanian organik dan manajemen ritel yang berkelanjutan. Studi dilakukan melalui observasi langsung, wawancara dengan pengelola farm dan pekerja, survei terhadap masyarakat dan pengunjung, Hasil kunjungan mengungkapkan bahwa Mas Miracle Farm menerapkan praktik pertanian organik dengan fokus pada penggunaan pupuk kompos, tanpa pestisida dan pupuk kimia, serta manajemen air yang efisien. Farm juga aktif dalam pemberdayaan masyarakat melalui pelatihan pertanian organik dan penciptaan lapangan kerja lokal. Strategi pemasaran farm melibatkan penjualan langsung ke konsumen dan kemitraan dengan toko ritel, didukung oleh upaya membangun kesadaran akan manfaat produk organik melalui media sosial dan platform digital. Mahasiswa mendapatkan pemahaman mendalam tentang pentingnya praktik pertanian berkelanjutan dan manajemen ritel yang efektif. Implikasi praktis bahwa mahasiswa memiliki alternatif bisnis dengan mengaplikasikan pengetahuan yang diperoleh dalam pengembangan karir mereka di sektor pertanian dan ritel, serta memberikan kontribusi positif dalam mendorong praktik bisnis yang berkelanjutan.
CLASSIFYING VILLAGE FUND IN WEST JAVA, INDONESIA USING CATBOOST ALGORITHM Harriz, Muhammad Alfathan; Akbariani, Nurhaliza Vania; Setiyowati, Harlis; Santoso, Handri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 2 (2023): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i2.269

Abstract

With over 261 million inhabitants, Indonesia is home to approximately 15,000 villages, according to the Ministry of Villages, Disadvantaged Regions, and Transmigration. Among these, 1,406 are in West Java. Of these, 504 of them are advanced, 464 are developing, 390 are disadvantaged, and 48 are very disadvantaged. The CatBoost machine learning model was used to classify village funds in West Java from 2018 to 2021 and had an accuracy rating of 75%, precision rating of 79%, recall of 79%, and f1 score of 79%, demonstrating its excellent performance. However, missing data points had to be removed from the analysis and it is suggested that a more sophisticated method for handling missing values should be used in future studies. In addition, hyperparameter tuning could be employed to increase the model's performance, and a variety of metrics could be used to accurately assess the results. Overall, CatBoost may be of benefit to the Indonesian Government in order to classify village funds according to their status, channel funds more accurately and efficiently, and observe the situation of a village year-over-year.
PENGUATAN BRAND EQUITY MELALUI ANALISIS SWOT PADA STRATEGI RETAIL MIX INDOMARET GADING SERPONG: KONTRIBUSI SDG’S Kurniadjaya, Morgan; Setiyowati, Harlis
Bussman Journal : Indonesian Journal of Business and Management Vol. 4 No. 2 (2024): Bussman Journal | Mei - Agustus 2024
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/buss.v4i2.219

Abstract

This study examines the enhancement of brand equity through SWOT analysis within the retail mix strategy of Indomaret Gading Serpong, with a focus on contributing to the Sustainable Development Goals (SDGs). Brand equity, a critical asset for any business, represents the value and perception consumers hold towards a brand. In a competitive area like Gading Serpong, strengthening brand equity is vital for sustaining market presence. This research utilizes SWOT analysis to identify Indomaret’s internal strengths and weaknesses, as well as external opportunities and threats. The study explores how Indomaret can leverage its strengths, address its weaknesses, capitalize on opportunities, and mitigate threats to enhance its brand equity. Additionally, the research aligns these strategies with SDGs, particularly SDG 1 (No Poverty) and SDG 8 (Decent Work and Economic Growth), demonstrating Indomaret’s potential to contribute positively to local economic development and poverty reduction. The findings suggest that by adopting a comprehensive retail mix strategyencompassing product innovation, quality service, effective marketing, and sustainability initiatives Indomaret can improve its competitive advantage and brand equity. This approach not only enhances business performance but also supports broader socio-economic goals, providing a model for other retailers aiming to achieve sustainable growth
Pengaruh Kualitas Produk, Promosi dan Kualitas Pelayanan Terhadap Loyalitas Pelanggan Melalui Keputusan Pembelian Pelanggan Minimarket Alfamart Ruko Beryl Gading Serpong Chandra, Ray; Setiyowati, Harlis
Manajemen dan Kewirausahaan Vol. 5 No. 2 (2024): Manajemen & Kewirausahaan
Publisher : Manajemen FEB Unima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/mk.v5i2.8823

Abstract

Alfamart is a minimarket owned by PT Sumber Alfaria Trijaya TBK and has branches in almost all provinces of Indonesia. This research aims to determine the influence of product quality, promotion and service quality on customer loyalty through purchasing decisions of Alfamart Ruko Beryl Gading Serpong minimarket customers. The research method used in this research is a quantitative method which is ex post facto in nature where the data is collected using a questionnaire and then manages the data and the analysis used is descriptive analysis. The quantitative research method in this study was carried out to test the influence of product quality, promotion and service quality on customer loyalty through purchasing decisions of Alfamart customers in the Serpong area. The Quality and Service Quality variables have a significant positive effect on the respondents' customer loyalty. The variable that does not have a positive effect on customer loyalty is the Promotion variable. The variable that has the highest significant positive influence on customer loyalty is Product Quality with an R-Square test value of 0.762 and an F-Square test result of 0.872.
Mapping and rebranding ornamental fish farming in Depok, West Java, contributions to the SDGs Harriz, Muhammad Alfathan; Setiyowati, Harlis; Akbariani, Nurhaliza Vania
Journal of Sustainable Tourism and Entrepreneurship Vol. 6 No. 2 (2025): January
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/joste.v6i2.2300

Abstract

Purpose: This study aims to identify and prioritize effective rebranding strategies for the ornamental fish farming industry in Depok, West Java, using the Analytic Hierarchy Process (AHP) to address challenges such as limited market access, environmental sustainability issues, and economic feasibility concerns while aligning with Sustainable Development Goals (SDGs). Research Methodology: The research employs a mixed-method approach, combining qualitative research through in-depth interviews with key stakeholders and quantitative analysis using the AHP to systematically evaluate and prioritize rebranding strategies based on multiple criteria. Results: The study identified market access as the most critical criterion, followed by environmental sustainability and economic feasibility, with digital marketing emerging as the most effective rebranding strategy, scoring 0.67, followed by sustainability certification (0.22) and community outreach programs (0.11). Limitations: The research is limited by a small sample size, potentially affecting result generalizability. The AHP methodology introduces possible subjective biases through pairwise comparisons. The study's regional specificity may constrain broader applicability. Furthermore, the emphasis on rebranding strategies may not encompass all potential solutions to industry challenges. Contribution: This research provides actionable insights for stakeholders in the ornamental fish farming industry to implement sustainable development strategies, aligning with SDGs 1, 8, and 14. It offers a systematic approach to decision-making through the application of AHP. Novelty: This study innovatively applies the AHP to rebranding strategies in ornamental fish farming, uniquely integrating sustainable development principles with quantitative decision-making. This approach offers a new paradigm for strategic planning in aquaculture, contrasting with traditional qualitative methods in the field.
Co-Authors Akbariani, Nurhaliza Vania Amroni Aprillia Eka Lestari Astuti, Eka Dian Azuddin, Muna Basuki, Sucipto Carlos Perez Chandra, Ray Cicilia S Bangun Dazk, Erick Dewa Gede Satriawan Enden Suryati Firdaus Firdaus Gazali Rahman Handri Santoso Handri Santoso Harimurti Wulandjani Indah Sulistyoningsih Konita Lutfiyah Kurniadjaya, Morgan Lilik Hariyanto Luh Putu Puji Trisnawati Luh Putu Puji Trisnawati Mayatopani, Hendra Muhamad Yusup Muhammad Alfathan Harriz Nurhaliza Vania Akbariani Nurhaliza Vania Akbariani Nurhaliza Vania Akbariani Nurhaliza Vania Akbariani Nurhaliza Vania Akbariani Nurjannah Nurjannah Ratna Setiawati Ratna Setiawati Rina Rina Rizki Kurniawan Santoso, Handri Sembiring, Rinawati Shania Lie Soni Hartanto Supriadi Thalib Surjo Widodo Suwita, Jaka Wibowo, Shesilia Widasapta Sutapa