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All Journal Dialektika Teosofi: Jurnal Tasawuf dan Pemikiran Islam International Journal of Nusantara Islam Jurnal Informatika dan Teknik Elektro Terapan Syntax Literate: Jurnal Ilmiah Indonesia An-Nas : Jurnal Humaniora KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer ALQALAM Martabe : Jurnal Pengabdian Kepada Masyarakat 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 ISLAM NUSANTARA: Journal for the Study of Islamic History and Culture 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 Jurnal Pengabdian West Science At-Tuhfah : Jurnal Studi Keislaman Tamkin: Jurnal Pengembangan Masyarakat Islam LANTERA: JURNAL KOMUNIKASI DAN PENYIARAN ISLAM BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat 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 Jurnal Ilmu Komputer Ruru Journal of Village Development Innovation Hospitality Management and Operations Journal Journal of Islamic Family Law THORIQOTUNA: Jurnal Pendidikan Islam Fikrah : Jurnal Pendidikan Agama Islam
Saeful Anwar, Saeful
Pascasarjana Ilmu Sastra FIB UGM
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EVALUASI PENGALAMAN PENGGUNA MAHASISWA TERHADAP SISTEM INFORMASI SIASAT: PENDEKATAN DENGAN USER EXPERIENCE QUESTIONNAIRE Anwar, Saeful
Jurnal Ilmu Komputer Ruru Vol. 2 No. 1 (2025): Edisi Januari
Publisher : Yayasan Grace Berkat Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69688/jikr.v2i1.9

Abstract

This research aims to analyze student user experience on the Satya Wacana Information System (SIASAT) using the User Experience Questionnaire (UEQ). UEQ is a measurement method from the aspect of its use and the aspect of the experience, including a compressive impression using a questionnaire scale. The UEQ has 26 questions that must be filled out by respondents, where the questions cover 6 aspects, including attractiveness, efficiency, perspicuity, dependability, stimulation, and novelty. The UEQ questionnaire in this study used data from 54 active SWCU student respondents who understood the use of the Satya Wacana Academic Information System (SIASAT) well. The final results of the tests carried out obtained data for the scale of attractiveness, efficiency, dependability, and stimulation to get a normal evaluation category. Meanwhile, the novelty scale gets a negative evaluation category and the perspicuity scale gets a positive evaluation category. Then for the results of the benchmark evaluation, the majority got the Bad category which includes a scale of attractiveness, efficiency, dependability, stimulation, and novelty. Only one scale that gets the Above Average category (Good Enough) is perspicuity.
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.
UPAYA PENINGKATAN PERCAYA DIRI ANAK MELALUI LITERASI MEMBACA DI SD MUHAMAMDIYAH I PEKANBARU Suparmi, Suparmi; Rambe, Paijan; Prayoga, Haris; Anwar, Saeful; Ardillah, Yosi; Febri Yusnita, Utama
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 6 (2023): martabe : jurnal pengabdian kepada masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i6.2093-2097

Abstract

Program kegiatan pengabdian kepada masyarakat merupakan program chatur darma perguruan tinggi muhamadiyah dan aisyiyah yang dilaksankan oleh dosen. Berdasarkan observasi awal ditermukan beberapa kendala yang dihadapai oleh guru SD Muhamamdiyah 1 pekanbaru. permasalahan tersebut yaitu: (1) Percaya diri pada anak SD Muhamamdiyah 1 Pekanbaru sebagian masih rendah (2) Motivasi   membaca pada anak SD Muhamamdiyah 1 pekanbaru masih rendah (3)Ketersedian buku bacaan komik,majalah yang belum maksimal (4) Ruang perpustakaan yang kurang memadai. Untuk mengatasi permasalahan tersebut perlu di lakukan kegiatan yang dapat meningkatkan percaya diri anak. Pelaksanaan pengabdian dilakukan melalui tiga tahap. tahap persiapan, tahap pelaksanaan dan tahap evaluasi. Hasil dari kegiatan ini terdapat peningkatan percaya diri pada anak,anak-anak menjadi lebih senang membaca.
Penerapan Metode Dakwah Mujadalah di Majelis Taklim Anwar, Saeful; Firdaus, Ahmad
LANTERA: Jurnal Komunikasi dan Penyiaran Islam Vol. 1 No. 2 (2023): Juni
Publisher : Universitas Islam Nusantara, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30999/lantera.v2i1.2692

Abstract

Tujuan penelitian ini untuk memahami metode dakwah mujadalah. Riset ini menggunakan pendekatan kualitatif dengan metode deskriptif-analitik. Fokus penelitian ini adalah menganalisis berbagai literatur dan fenomena dakwah kontemporer. Melalui studi ini, disimpulkan bahwa dalam konteks majelis taklim, metode dakwah mujadalah dapat diaplikasikan melalui berbagai media komunikasi modern seperti televisi, radio, internet, buletin, majalah, dan buku. Dalam era perkembangan teknologi informasi dan komunikasi, media-media ini dapat menjadi sarana efektif untuk menyampaikan pesan dakwah kepada masyarakat. Secara keseluruhan, penerapan metode dakwah mujadalah di majelis taklim dapat meningkatkan religiusitas umat, membangkitkan pemahaman yang lebih dalam, mengembangkan kecerdasan, serta memberikan sumbangsih dalam pembinaan dan peningkatan kualitas hidup umat Islam. Metode ini relevan dengan perkembangan zaman dan memberikan alternatif yang sesuai dengan kebutuhan masyarakat yang semakin kritis dan beragam dalam berpikir.
Hybrid Working and Work-Family Balance: New Challenges for HR Managers in Southeast Asia Maula, Indi Millatul; Nabila, Maulina; Lestari, Ayu; Anwar, Saeful
Journal of Village Development Innovation Vol. 2 No. 1 (2025): Journal of Village Development Innovation
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jvdi.v2i1.10

Abstract

Changing work models due to the COVID-19 pandemic have accelerated the adoption of hybrid work systems in Southeast Asia. While this model offers flexibility, major challenges arise in maintaining work-family life balance for employees, as well as managing productivity and well-being in diverse cultural contexts. This study aims to identify the challenges faced by HR managers in managing hybrid work systems in Southeast Asia, and evaluate their impact on employees' work-family life balance. This study used a quantitative approach with an explanatory design. Data was collected through a survey of 300 employees working in hybrid work models in six Southeast Asian countries and in-depth interviews with HR managers. The data analysis techniques used were descriptive and regression analysis. The findings show that HR managers in countries with better infrastructure, such as Singapore, are better able to manage the challenges of hybrid working. Countries such as the Philippines and Vietnam face more difficulties related to technological infrastructure and policies that are less supportive of work-life balance. The research suggests that HR managers adopt more flexible policies, improve training for HR managers, and provide technology that supports remote working. Policies tailored to local needs and attention to employee well-being are key to the success of hybrid working models in Southeast Asia.
AI-Powered HR: Ethical and Strategic Analysis of Artificial Intelligence Implementation in Recruitment Process in Indonesia Falah, Zidnal; Syaifurrochman, Fajar; Anwar, Saeful; Anggraeni, Riska
Journal of Village Development Innovation Vol. 2 No. 1 (2025): Journal of Village Development Innovation
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jvdi.v2i1.11

Abstract

The development of artificial intelligence (AI) in the human resources (HR) sector, particularly in recruitment, is accelerating, including in Indonesia. The implementation of AI in the recruitment process offers great potential in terms of efficiency and reduction of human bias, but also raises ethical and strategic challenges. Therefore, it is important to understand how AI is applied in recruitment and its impact on the selection process and company decisions. This study aims to analyze the implementation of AI in the recruitment process in Indonesia, identify the ethical challenges that arise, and provide strategic recommendations for the effective and fair use of this technology. This study used a descriptive mixed-methods approach, which included in-depth interviews with HR managers and relevant staff as well as a survey of employees who have gone through AI-based recruitment. The data obtained was analyzed using thematic analysis techniques for qualitative data and descriptive statistics for quantitative data. The results show that although AI improves the efficiency of the recruitment process, many companies in Indonesia still face challenges related to the transparency of AI decisions and potential bias. Most companies use AI only in the early stages of selection, with the final decision still involving humans. The application of AI in recruitment in Indonesia can improve efficiency, but companies must pay more attention to ethics and transparency to ensure that this technology is used fairly. A hybrid approach that combines technology with human evaluation may be the best solution.
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 Amar, Mohammad Rosihin Andini, Selvi Andriyanti, Rina Aprinus Salam Ardillah, Yosi Ari, Muhamad As Arum Sari Athaya, Muhammad Randy Nashwan Aulia Rahmawati, Aulia AYU LESTARI Ayus ahmad Yusuf Azis, Irfan Bayu Saputra Chulyatunni’mah Daimah, Daimah Danar Dana, Raditya Dedy Setiawan Dikananda, Arif Rinaldi Dikananda, Fatihanursari Endah Wahyuni ENDRI ENDRI Enggal, Dwi Fadhillah, Muhammad Daffa Falah, Zidnal Falih, Alfi Rizqi Falih Farizka Susandra Fauzan, Muhammad Akmal Fauziah, Siti Sarah Febri Yusnita, Utama 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 Hidayat, Hilpad Hulmun, Nai Wise Huzaimah Ida Fauziatun Nisa' Indi Millatul Maula Indra Cahya Jannah, Zahratul Jayawarsa, A.A. Ketut Juanda, Ayi Kurniawan, Ase Kuswana, Dadang Laela Al-Wafa, Rika Hakim Lestari, Dinda Dwi Lidiawati, Ayi Ma'arif, M Jauharul Maknuun, Lu’lu’ Il Marfu'ah, Luk Luk Atin Marsinah, Siti Muhamad Lukman Hidayat, Muhamad Lukman Muhammad Afthon Ulin Nuha Munggaran, Nita Anjung Musarofah, Zul Musyafa, Nasyith Mutiara Arsy, Anandhita Nabila, Maulina Narasati, Riri Narasati Nardiansyah, Afrie Ningrum, Sekar Ayu Nirwansyah, Moch. Novita Safitri Nurcholis, Rifki Nurul Musyafaah Nurwidia, Ita Odi Nurdiawan Oktaviani, Leli Patrisa, Indira Cahya Permatasari, Nastiti Tri Permatsari, Nasiti Tri Pratama, Denni Pratama, Radi Prayoga, Haris Pujiharto Pujiharto Puri, Anita Purnamasari, Ade Irma Putri ayu, Putri Ayu Dara Sekarwangi Putri, Haidah R, Nining Rakhmat Soleh Rambe, Paijan Ramdani, Muhamad Ranadimajid, Muhammad Indirafi Resdiana, Imelda 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 Saumantri, Theguh Sayudin, Sayudin Septyningsih, Nurmila Shidiq, Agus Sholahudin Silviani, Hilda Siti Khoiriyah Siti Solehah, Siti Solihudin, Dodi Sopian sopian Suhana, Nanang Sumantriyadi, Sumantriyadi Suparmi Suparmi Supriadi, Yadi Susana, Heliyanti Sutisna, Dede Syahara, Herni Syahputra, Dimas Nur Alim Syaifurrochman, Fajar Tamam, Abas Mansur Tati Suprapti Tofik, Akhsan Tohidi, Edi Ulfah Ulfah Ulhaq, Dea Fitrianingka Wahyudin, Edi Wahyuningsih, Siska Wardana, Andri Kusuma Wibowo, Tri Joko Ari Widaningsih, Mimin Winarsih, Windu Yudhistira Arie Wijaya Yunus, Shofian Zakariya Pamuji Aminullah Zubaedah, Putri Amalia