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All Journal Dialektika Teosofi: Jurnal Tasawuf dan Pemikiran Islam Jurnal Informatika dan Teknik Elektro Terapan Syntax Literate: Jurnal Ilmiah Indonesia KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer ALQALAM FIKRAH JUTEKS JURIKOM (Jurnal Riset Komputer) GEMA EKONOMI Infotronik : Jurnal Teknologi Informasi dan Elektronika Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Building of Informatics, Technology and Science JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Akuakultura Universitas Teuku Umar Jurnal Abdi Insani Jurnal Ilmiah Akuntansi Kesatuan Jurnal Bina Ummat: Membina dan Membentengi Ummat MEANS (Media Informasi Analisa dan Sistem) International Journal of Arabic Language Teaching IJALT Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Economics and Business UBS ISLAM NUSANTARA: Journal for the Study of Islamic History and Culture Journal Evaluation in Education (JEE) Jurnal Hukum Jurisdictie Bakti Budaya: Jurnal Pengabdian kepada Masyarakat Formosa Journal of Multidisciplinary Research (FJMR) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Budgeting Eduvest - Journal of Universal Studies Innovative: Journal Of Social Science Research Abdibaraya: Jurnal Pengabdian Masyarakat Equivalent: Jurnal Ilmiah Sosial Teknik Jurnal Pengabdian West Science At-Tuhfah : Jurnal Studi Keislaman Tamkin: Jurnal Pengembangan Masyarakat Islam LANTERA: JURNAL KOMUNIKASI DAN PENYIARAN ISLAM BULLET : Jurnal Multidisiplin Ilmu Karimah Tauhid International Journal of Islamic Studies Jurnal Sistem Informasi dan Manajemen Jurnal Pengabdian Sosial Al-khidmah: Jurnal Pengabdian dan Pendampingan Masyarakat Adpertens ; Jurnal Ekonomi dan Manjemen Jurnal Medika: Medika Ulul Albab: Jurnal Pendidikan Agama Islam Lantera: Jurnal Komunikasi dan Penyiaran Islam Edukasia Islamika: Jurnal Pendidikan Islam Journal of Village Development Innovation Hospitality Management and Operations Journal Journal of Islamic Family Law THORIQOTUNA: Jurnal Pendidikan Islam Fikrah : Jurnal Pendidikan Agama Islam Jurnal Akuntansi dan Bisnis Krisnadwipayana
Saeful Anwar, Saeful
Pascasarjana Ilmu Sastra FIB UGM
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Pelatihan Pemasaran Digital Produk Usaha Mikro Kecil dan Menengah (UMKM) Permatsari, Nasiti Tri; Adha, Rizki; Anwar, Saeful
Jurnal Pengabdian Sosial Vol. 1 No. 5 (2024): Maret
Publisher : PT. Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/dmzrc233

Abstract

Pada era digital ini teknologi dalam pemasaran dengan memanfaatkan internet berupa digital marketing merupakan metode yang harus dipahami dalam bisnis saat ini. Internet sudah mulai dikenal dan digunakan oleh berbagai kalangan masyarakat termasuk di dalamnya para pengusaha UMKM di daerah. Namun kurangnya wawasan dan edukasi bagi para pengusaha UMKM menyebabkan tidak optimalnya penggunaan internet dalam mendukung proses bisnis guna meningkatkan laba yang akan diraih oleh pelaku UMKM. Digital marketing, yang merupakan salah satu usaha untuk memasarkan atau mempromosikan sebuah produk melalui media internet agar bisa menjangkau dan menarik konsumen maupun calon konsumen dengan cepat. Kegiatan pengabdian Masyarakat berupa Pelatihan Pemasaran Digital Produk usaha Mikro kecil  dan menengah UMKM bertujuan untuk meningkatkan pengetahuan serta keterampilan penggunaan teknologi digital bagi para pelaku UMKM di Desa Kebonratu. Kegiatan pengabdian masyarakat ini sangat bermanfaat bagi pelaku UMKM di Desa Kebonratu untuk meningkatkan daya saing produk UMKM.
Protection of Consumer Rights in Online Transactions from the Perspective of Positive Law on Consumer Protection and the Compilation of Sharia Economic Law Anwar, Saeful; Rokhilnasari, Sri; Yusuf, Ayus Ahmad; Azis, Irfan
Eduvest - Journal of Universal Studies Vol. 4 No. 5 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i5.1478

Abstract

This research is motivated by a phenomenon that business actors in buying and selling online often provide unclear information. This research is a library research on consumer legal protection in online buying and selling according to Law No. 8 of 1999 and consumer protection in online buying and selling according to the Compilation of Sharia Economic Law and comparison of consumer protection in online buying and selling according to UUPK and KHES. The results showed that, Legal protection of consumers in online buying and selling according to Law No. 8 of 1999 is not fully realized, because many consumer rights are violated by online business actors. Violated consumer rights are contained in GCPL Article 4, Article 7, Article 8, Article 17, Article 19. The legal protection of consumers in online buying and selling based on the Compilation of Sharia Economic Law is the provision of protection in the form of khiyar rights (cancel or continue the sale and purchase contract). The similarity of consumer legal protection in online buying and selling according to GCPL and KHES is that they must provide correct, clear, and honest information about the conditions and guarantees of goods and / or services. While the difference in consumer protection in online buying and selling according to GCPL and KHES is that according to GCPL, administrative sanctions and criminal sanctions are imposed; in KHES, consumers are given the right to khiyar (cancel or continue the contract) in online buying and selling.
The Effect of Customer Experience on Guest Satisfaction and Loyalty: A Study on Digital Service-Based Hotels Daimah, Daimah; Anwar, Saeful
Hospitality Management and Operations Journal Vol. 2 No. 1 (2025): Hospitality Management and Operations Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/hmoj.v2i1.9

Abstract

Digital transformation in the hospitality industry has changed the way hotels provide services to guests, especially through the use of technologies such as self check-in, mobile applications, and Internet of Things (IoT) based systems. This study aims to analyze the influence of customer experience on guest satisfaction and loyalty in digital service-based hotels. Using a descriptive qualitative approach, data was collected through in-depth interviews with hotel managers, questionnaires to licensed employees, and observations of guest behavior at two digital hotels in Jakarta and Bali. The results show that a positive customer experience, characterized by ease of access, speed of service, and technological convenience, contributes greatly to guest satisfaction. Furthermore, high satisfaction drives loyalty in the form of return intentions and recommendations to others. However, human interaction is still required to maintain a balance between digital efficiency and emotional comfort. This research emphasizes the importance of integrative strategies in technology
Pengaruh Curent Ratio, Return On Asset, Debt To Equity Ratio dan Total Asset Turn Over Terhadap Return Saham Perusahaan Perbankan di Bursa Efek Indonesia Tahun 2018-2022 Mutiara Arsy, Anandhita; Afif, M. Nur; Anwar, Saeful
Innovative: Journal Of Social Science Research Vol. 4 No. 5 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i5.10576

Abstract

This research aims to find out how to get the desired stock returns by carrying out your own analysis of stock trading behavior, or by using the tools provided by analysis in the capital market. Information that can be used as a benchmark for the level of stock returns of the companies studied is the current ratio, return on assets, debt to equity ratio and total asset turnover. The population in this study were 13 banking sub-sector companies registered on the IDX in 2018-2022. The analysis used is descriptive analysis, classical assumptions, multiple linear regression analysis and hypothesis testing. The results of this research show that the current ratio has a negative and insignificant effect on stock returns. Return on assets has no and significant effect on stock returns, debt to equity ratio has a positive and not significant effect on stock returns and total asset turnover has a positive and not significant effect on stock returns
Determinan yang Mempengaruhi Audit Delay pada Perusahaan Sub Sektor Proferti dan Real Estate di Bursa Efek Indonesia (BEI) Tahun 2019-2023 Fillany, Ricken; Hambani, Susy; Anwar, Saeful
Innovative: Journal Of Social Science Research Vol. 4 No. 5 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i5.15662

Abstract

Companies that issue their shares on the stock market are required to submit annual reports; however, many businesses, primarily dominated by property companies, are delayed in publication due to audit postponements. The study aims to determine the influence of company size, profitability, solvency, and liquidity on audit delay and to identify the factor with the greatest impact. The results indicate that company size, profitability, solvency, and liquidity collectively have a significant effect on audit delay; however, company size and profitability do not have a significant partial effect on audit delay. On the other hand, solvency and liquidity significantly affect audit delay in companies within the property and real estate subsector. The most influential factor on audit delay is liquidity.
STUDI ALGORITMA NEURAL NETWORK DALAM KLASIFIKASI SENTIMEN PENGGUNA SHOPEE: PENINGKATAN AKURASI MODEL jannah, Zahratul; Kurniawan, Rudi; Anwar, Saeful
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6113

Abstract

Advances in technology and the growth of e-commerce have generated a large amount of user sentiment data, which can be leveraged to improve user experience. Shopee is an e-commerce platform in Indonesia that allows users to buy and sell various products online. Through the Shopee app, users can find a variety of products ranging from clothing, electronics, cosmetics, household needs, to food. However, sentiment data analysis is often constrained by data complexity and the low accuracy of conventional models. This research aims to improve accuracy in Shopee app users by applying Neural Network algorithm. Evaluation of application user sentiment is important for e-commerce companies, such as Shopee, because it provides an overview of user satisfaction and experience with the services offered. In this research, the Neural Network algorithm is used to process sentiment data by optimizing parameters to improve the optimal parameters, including the best K value that can improve model performance. Experimental results show that the best K value is 2, with model accuracy reaching 95.08%. To further measure effectiveness, recall and precision values were calculated for positive and negative categories. The recall result for positive sentiment reached 98.77%, while for negative sentiment it was 93.33%. In addition, the precision for the positive category was 93.73% and for the negative category was 93.33%.
ANALISIS SENTIMEN PENGGUNA X MENGENAI OPINI MASYARAKAT TENTANG DINASTI POLITIK MENGGUNAKAN ALGORITMA NAÏVE BAYES Andini, Selvi; Kurniawan, Rudi; Anwar, Saeful
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6299

Abstract

Fenomena dinasti politik di Indonesia sering memicu perdebatan, terutama terkait dampaknya terhadap demokrasi dan representasi rakyat. Media sosial, seperti X, menjadi wadah utama bagi masyarakat untuk mengekspresikan opini mereka mengenai isu ini. Namun, analisis sentimen terhadap opini publik di media sosial menghadapi tantangan, terutama karena data teks yang tidak terstruktur dan mengandung noise. Penelitian ini bertujuan untuk mengidentifikasi kata-kata yang sering muncul dalam sentimen terkait dinasti politik, mengevaluasi akurasi algoritma Naïve Bayes dalam analisis sentimen, serta menentukan teknik sampling yang paling optimal untuk meningkatkan akurasi model. Metode yang digunakan adalah Knowledge Discovery in Database (KDD) dengan algoritma Naïve Bayes sebagai model klasifikasi sentimen. Hasil penelitian menunjukkan bahwa kata-kata seperti “politik,” “dinasti,” “banten,” “rakyat,” dan “keluarga” sering muncul dalam sentimen terkait dinasti politik. Teknik linear sampling memberikan akurasi tertinggi sebesar 77.78%, dengan precision 76.19% dan recall 84.21%. Penelitian ini menunjukkan bahwa distribusi data yang seimbang dan teknik sampling yang tepat berpengaruh signifikan terhadap performa model.
SAVI Learning Model in Improving Students' Learning Interest and Thinking Ability in Balaghah Learning Ulin Nuha, Muhammad Afthon; Nisa, Ida Fauziatun; Anwar, Saeful; Musyafaah, Nurul
Jurnal Internasional Pendidikan Bahasa Arab Vol 5 No 01 (2023): International Journal of Arabic Language Teaching (IJALT)
Publisher : Postgraduate of IAIN Metro Lampung Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/ijalt.v5i01.6491

Abstract

This study aims to determine the effect of the SAVI learning model (Somatic, Auditory, Visualization, Intellectual) on students' learning interests and critical thinking skills in the Balaghah subject at the Adnan Al-Charis Bojonegoro Islamic Boarding School. This study used a quantitative approach with a quasi-experimental research type with a non-equivalent control group design. Class A is the control class with 15 students, and class B is the experimental class with 15 students. Data collection methods include observation, questionnaires, tests, and documentation. Meanwhile, data analysis used descriptive statistics, sample t-test, and the N-Gain test. From the results of this study, it was obtained 1) The SAVI learning model was effective in increasing students' interest in learning. The results of the independent sample t-test (2-tailed) < 0.05, which is 0.000; 2) The SAVI learning model is less effective in improving students' critical thinking skills. The N-Gain result for the experimental class is 59%; 3) There is an influence between the SAVI learning model on students' learning interest, the results of Sig (2-tailed) < 0.05, which is equal to 0.000, while the SAVI learning model has no influence on students' critical thinking skills, the results of Sig (2-tailed) > 0.05, namely of 0.903.
Mekanisme Penentuan Harga Pokok Produksi Menggunakan Metode Job Order Costing (JOC) pada Usaha Home Industri Marsinah, Siti; Patrisa, Indira Cahya; Hulmun, Nai Wise; Solehah, Siti; Anwar, Saeful
Karimah Tauhid Vol. 4 No. 6 (2025): Karimah Tauhid
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/karimahtauhid.v4i6.18077

Abstract

Penetapan harga pokok produksi (HPP) secara akurat merupakan langkah krusial dalam mengoptimalkan efisiensi dan efektivitas dalam memproses produksi. Salah satu pendekatan umum yang digunakan adalah Job Order Costing, yaitu anggaran produksi dihitung berdasarkan setiap pesanan secara spesifik. Metode ini mencakup perhitungan biaya bahan baku, tenaga kerja langsung, serta BOP yang dialokasikan secara rinci. Studi ini fokus pada Kampung Perca Bogor, sebuah Home Industri yang mengerjakan pesanan khusus seperti pakaian adat, untuk menganalisis implementasi Job Order Costing dalam menentukan biaya produksi mereka. Penelitian ini bertujuan untuk menganalisis bagaimana metode tersebut diterapkan dan sejauh mana efektivitasnya dalam mengelola biaya produksi serta dampaknya terhadap kinerja Kampung Perca Bogor. Penelitian ini menerapkan pendekatan deskriptif kuantitatif dengan pengumpulan data dengan cara observasi juga melakukan wawancara, dan analisa sebuah dokumen. Data primer berasal dari wawancara dengan pengurus, sementara data sekunder diperoleh dari laporan produksi dan dokumen terkait. Hasil penelitian menunjukkan bahwa metode sederhana yang digunakan Kampung Perca Bogor dalam menghitung HPP memiliki kelemahan pada pencatatan BOP yang kurang rinci. Penerapan metode Job Order Costing menghasilkan HPP yang lebih akurat dengan selisih Rp4.034 per unit dibandingkan metode sebelumnya. Metode ini meningkatkan efisiensi, akurasi perhitungan, dan memfasilitasi keputusan yang lebih optimal dalam penentuan harga jual serta mengelola proses produksi.
Implementasi Akuntansi Perpajakan dalam Pengelolaan Beban Pelayanan Service pada Toyota Auto2000 Yasmin Lestari, Dinda Dwi; Anwar, Saeful
Karimah Tauhid Vol. 4 No. 9 (2025): Karimah Tauhid
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/karimahtauhid.v4i9.21299

Abstract

Tujuan penelitian ini adalah untuk menganalisis penerapan akuntansi perpajakan dalam beban pelayanan untuk Toyota Auto2000 Yasmin, khususnya terkait dengan PPN. PPN adalah jenis pinjaman jangka pendek yang diakui oleh penyedia layanan dan memiliki dampak signifikan pada laporan keuangan bisnis. Metodologi penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan studi kasus. Data dikumpulkan melalui observasi, wawancara, dan dokumentasi yang berkaitan dengan transaksi penyampaian layanan dan transaksi pajak terkait. Menurut temuan penelitian, perusahaan telah menerapkan sistem akuntansi perpajakan sesuai dengan perpajakan yang sebenarnya, termasuk dalam pelaporan dan pencatatan PPN. Namun, ditemukan beberapa kendala seperti dokumentasi yang kurang lengkap dan pemisahan biaya fiskal yang belum optimal. Kondisi ini berpotensi menyebabkan koreksi fisik dari observasi pajak seiring waktu. karena itu, diperlukan peningkatan dokumentasi, pelatihan staf, dan evaluasi menyeluruh terhadap sistem akuntansi perpajakan yang diterapkan. Implementasi akuntansi perpajakan yang efektif dapat meningkatkan efisiensi pajak, transparansi keuangan, dan keberlangsungan bisnis.
Co-Authors ., Suratun Abdul Azis abdullah, nur syarief Abdurrohman, Abdurrohman Ade Juang Eko Praseyo Adha, Rizki Adny, Nadhila Zafirotul Afif, M Nur Ahmad Fahmi Ahmad Faqih Ahmad Firdaus, Ahmad Akhmad Alim, Akhmad Ali, Mohammad Anas Bin Amar, Mohammad Rosihin Andini, Selvi Aprinus Salam Ari, Muhamad As Arif Rohman Hakim Arum Sari Athaya, Muhammad Randy Nashwan Aulia Rahmawati, Aulia Aulia, Salsa AYU LESTARI Ayus ahmad Yusuf Azis, Irfan Azizah, Ula Nur Bayu Saputra Chulyatunni’mah Daimah, Daimah Dedy Setiawan Dikananda, Arif Rinaldi Dikananda, Fatihanursari Endah Wahyuni ENDRI ENDRI Enggal, Dwi Erni Yuningsih Fadhillah, Muhammad Daffa Falah, Zidnal Falih, Alfi Rizqi Falih Farizka Susandra Fauzan, Muhammad Akmal Fauziah Fauziah Fauziah, Siti Sarah Febrian Nanda Pratama Febriani, Erika Febriansyah, Feggy Fillany, Ricken Firdaus, Radith Faris Fithri Muliawati Ganang Prihatmoko Gandi, Lilis Virna Gustiyaz, Lutfhi Muhammad Hadiyan, Edwin Hambani, Susy Hamonangan, Ryan Hananto, Bernad Hanifah, Putri Fatya Hasanah, Annisa Hayati, Tuti Nur Herdiana, Ruli Hibrizi, Rafa Naufal Hulmun, Nai Wise Huzaimah Ida Fauziatun Nisa' Indi Millatul Maula Indra Cahya Indra Cahya Kusuma Jannah, Zahratul Juanda, Ayi karmila karmila Kurniawan, Ase Kuswana, Dadang Laela Al-Wafa, Rika Hakim Lestari, Dinda Dwi Lidiawati, Ayi Lutfiah Zahra, Annisa Ma'arif, M Jauharul Maknuun, Lu’lu’ Il Marfu'ah, Luk Luk Atin Marsinah, Siti Mega Fatimah Rosana Muhamad Lukman Hidayat, Muhamad Lukman Muhammad Afthon Ulin Nuha Mulyadi, Musa Munggaran, Nita Anjung Musarofah, Zul Musyafa, Nasyith Mutiara Arsy, Anandhita Nabila, Maulina Narasati, Riri Narasati Nardiansyah, Afrie Ningrum, Sekar Ayu Nirwansyah, Moch. Nurcholis, Rifki Nurfariza, Rahma Nurohmah, Siti Nurul Musyafaah Nurwidia, Ita Odi Nurdiawan Oktaviani, Leli Patrisa, Indira Cahya Permatasari, Nastiti Tri Permatsari, Nasiti Tri Pratama, Denni Pratama, Radi Pujiharto Pujiharto Puri, Anita Purnamasari, Ade Irma Purwaningtyas, Restu Putra Mahendra, Resa Dwi Putri ayu, Putri Ayu Dara Sekarwangi Putri, Haidah R, Nining Rakhmat Soleh Ramdani, Muhamad Ranadimajid, Muhammad Indirafi Resdiana, Imelda Ridho, Arif Fatikhur Rina Marina Rinaldi Dikananda, Arif Riska Anggraeni Rizal, Dede Rizki, Dicky Miftakhul Rizky Maulana, Rizky Rokhilnasari, Sri Rudi Kurniawan Sahrin, Alfi Saman, Saman Saputra, Dimas Andi Sayudin, Sayudin Septyningsih, Nurmila Shidiq, Agus Sholahudin Silviani, Hilda Siti Khoiriyah Siti Solehah, Siti Solihudin, Dodi Sopian sopian Sopiana Halizahra, Yusti Sri Harini Suhana, Nanang Sumantriyadi, Sumantriyadi Supriadi, Yadi Susana, Heliyanti Sutisna, Dede Suttrisno Syahara, Herni Syahputra, Dimas Nur Alim Syaifurrochman, Fajar Syamsuddin Tamam, Abas Mansur Tati Suprapti Theguh Saumantri Tofik, Akhsan Tohidi, Edi Ulfah Ulfah Ulhaq, Dea Fitrianingka Wahyudin, Edi Wahyuningsih, Siska Wardana, Andri Kusuma Wibowo, Tri Joko Ari Widaningsih, Mimin Winarsih, Windu Yogi Prana Izza Yudhistira Arie Wijaya Yunus, Shofian Zahra Amalia Zakariya Pamuji Aminullah Zubaedah, Putri Amalia