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INDONESIA
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research
Published by Perkumpulan Ahli Bimbingan Konseling Islam Indonesia
ISSN : -     EISSN : 29628350     DOI : https://doi.org/10.59027/alihtiram
Core Subject : Religion, Humanities, Science, Education, Social,
Religion Humanities Astronomy Decision Sciences, Operations Research & Management Earth & Planetary Sciences Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research is a double-blind peer-reviewed multidisciplinary journal published by Perkumpulan Ahli Bimbingan Konseling Islam Indonesia. The journal disseminates the conceptual thoughts, ideas, and research results that have been achieved in the area of guidance and counseling, psychology, psychotherapy, education, health sciences, law, communication, tourism, and social sciences.
Arjuna Subject : Ilmu Sosial - Life-span and Life-course Studies
Articles 108 Documents
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IMPLEMENTASI SISTEM INFORMASI PENJUALAN TUNAI PADA UD. FN PERSADA TANGERANG DALAM MENINGKATKAN PENGELOLAAN STOK DAN LAPORAN PENJUALAN [IMPLEMENTATION OF A CASH SALES INFORMATION SYSTEM AT UD. FN PERSADA TANGERANG TO IMPROVE STOCK MANAGEMENT AND SALES REPORTING] Pepi Permatasari; Sri Wahyuningsih
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol. 4 No. 1 (2025)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/al-ihtiram.v4i1.1048

Abstract

The sales activity of building materials plays a crucial role in the process of constructing houses and other infrastructure. However, in several building material supply stores, the sales mechanism is still carried out manually, requiring customers to visit the store in person to complete the purchase transaction (Rijal et al., 2024). Advances in science and technology have had an impact on company activities, particularly in data processing into information (Imannudin Akbar et al., 2023). To monitor sales activities, a good information system is needed to keep up with the rapidly growing business, especially due to the increasing number and value of transactions. This study analyzes and designs a sales application to facilitate transaction services. Primary data is obtained through observation of the existing system. Secondary data is analyzed through interviews with users and document review used in the transaction process. Secondary data, on the other hand, is obtained from literature studies and other sources, such as the internet. The system analysis and design are carried out with an object-oriented approach through UML (Unified Modeling Language) and structured database analysis. The expected outcome of this research is an application developed using the Java programming language with MySQL database support, which is expected to improve service efficiency in the sales process (Nistrina & Sahidah, 2022).
GRAPH RAG UNTUK MEMAHAMI PERATURAN TENTANG PAJAK KENDARAAN BERMOTOR DI PROVINSI BANTEN [GRAPH RAG TO UNDERSTAND THE REGULATION ON MOTOR VEHICLE TAX IN BANTEN PROVINCE] Agung Prihartono; Akhmad Unggul Priantoro
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol. 4 No. 1 (2025)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/al-ihtiram.v4i1.1049

Abstract

Local regulation documents (Perda) often have a complex structure and intricate language, making them difficult for the general public to understand. Large Language Models (LLM) offer the potential to simplify this information but carry the risk of generating inaccurate or "hallucinated" information. This research proposes and tests the Graph Retrieval-Augmented Generation (Graph-RAG) method as a solution to build an accurate and explainable question-answering system. Using the Provincial Regulation of Banten Number 1 of 2024 on Regional Taxes and Levies as a case study, we built a knowledge graph mapping key entities related to Motor Vehicle Tax (PKB)—such as rates, taxpayers, and exemptions—along with their relationships. The results of the trial show that the Graph-RAG system can answer specific questions about the base rate of PKB, progressive rates, and excluded objects with 100% accuracy, while also providing direct citations to the relevant articles and paragraphs in the regulation. This method has proven effective in presenting complex regulatory information reliably and verifiably, demonstrating its potential as a tool to assist public administration and citizen information services.
INTEGRASI KECERDASAN BUATAN DALAM PROSES REKRUTMEN SDM: SEBUAH TINJAUAN SISTEMATIS [INTEGRATION OF ARTIFICIAL INTELLIGENCE IN THE HUMAN RESOURCE RECRUITMENT PROCESS: A SYSTEMATIC REVIEW] Muhammad Yamin
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol. 4 No. 1 (2025)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/al-ihtiram.v4i1.1054

Abstract

The development of digital technology has driven organizations to adopt artificial intelligence (AI) in human resource management, particularly in the recruitment process. Traditional recruitment often faces challenges such as subjective bias, limited transparency, and lengthy selection timelines. Therefore, the integration of AI is expected to improve efficiency, objectivity, and accuracy in candidate selection. This study aims to examine the benefits, challenges, and strategic implications of applying AI in human resource recruitment. The method employed is a systematic review of relevant national and international literature, retrieved through academic databases. The findings indicate that AI can accelerate the initial screening process, reduce costs, and enhance candidate experience through technologies such as Applicant Tracking Systems (ATS), big data analytics, and Natural Language Processing (NLP). However, significant challenges were also identified, including risks of algorithmic bias, data privacy issues, and the limitations of AI in assessing non-technical aspects such as soft skills and cultural fit. In conclusion, AI serves as a complement to, rather than a full replacement for, human recruiters. Thus, ethical governance and a hybrid approach are required to ensure that recruitment processes remain fair, transparent, and sustainable.
CHALLENGES FACED BY MULTINATIONAL CORPORATIONS IN NAVIGATING LEGAL FRAMEWORKS, CULTURAL DIFFERENCES, AND ETHICAL ISSUES IN DEVELOPING COUNTRIES [TANTANGAN YANG DIHADAPI PERUSAHAAN MULTINASIONAL DALAM MENGHADAPI KERANGKA HUKUM, PERBEDAAN BUDAYA, DAN ISU ETIKA DI NEGARA BERKEMBANG] Hayatul Khairul Rahmat
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol. 4 No. 1 (2025)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/al-ihtiram.v4i1.1057

Abstract

Multinational corporations (MNCs) face various challenges when operating in developing countries, particularly regarding varying legal frameworks, cultural differences, and complex ethical issues. In these environments, companies must ensure compliance with international laws while respecting local customs. The biggest challenges include differences in data privacy regulations, such as the General Data Protection Regulation (GDPR) in the European Union and the Foreign Corrupt Practices Act (FCPA) in the United States. Additionally, significant cultural differences in communication styles and business etiquette between high-context and low-context cultures complicate operations. Ethical issues, such as gift-giving or facilitation payments that are considered unethical under international standards, add to the dilemma. Therefore, multinational companies must develop robust compliance policies, enhance cultural intelligence, and ensure adherence to global ethical principles to succeed in international markets.
ETHICAL IMPLICATIONS OF OUTSOURCING AND OFFSHORING IN GLOBAL BUSINESS PRACTICES: IMPACTS ON LOCAL ECONOMIES, LABOR RIGHTS, AND THE ENVIRONMENT [IMPLIKASI ETIS DARI OUTSOURCING DAN OFFSHORING DALAM PRAKTIK BISNIS GLOBAL: DAMPAKNYA TERHADAP EKONOMI LOKAL, HAK PEKERJA, DAN LINGKUNGAN] Hayatul Khairul Rahmat
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol. 4 No. 1 (2025)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/al-ihtiram.v4i1.1058

Abstract

Outsourcing and offshoring are critical international business strategies for enhancing cost efficiency and expanding global markets. However, these practices carry significant ethical implications, particularly concerning local economies, labor rights, and environmental standards. While offshoring can stimulate economic growth in developing countries by creating jobs and transferring technology, it often results in economic inequality, labor exploitation, and environmental degradation. Additionally, outsourcing frequently involves violations of labor rights, such as low wages and poor working conditions, as well as negative environmental impacts due to weaker regulations in host countries. This study aims to explore the ethical impacts of outsourcing and offshoring, and the role of regulatory mechanisms and ethical guidelines in mitigating the negative effects of these practices.
KLASIFIKASI MUTU TANDAN BUAH SEGAR KELAPA SAWIT MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK DENGAN EVALUASI MULTI-METRIK Muhammad Firjatullah Nur Akbar
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol. 5 No. 1 (2026)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/1w381p50

Abstract

Most studies on oil palm fresh fruit bunch (FFB) grading report accuracy as the sole measure of success, which conceals weaknesses on minority classes and says nothing about field deployability. This study builds and evaluates convolutional neural network models for four-class FFB quality grading using a multi-metric framework. An experimental design was applied to 3,200 field images collected at a palm oil mill in Riau across three daylight conditions, labeled independently by three certified graders with a Fleiss kappa of 0.81, and split 70:15:15 in stratified fashion. A baseline CNN and four transfer learning architectures were compared on accuracy, macro precision, recall, F1, Cohen kappa, inference latency, and model size. EfficientNetB0 achieved the best statistical performance at 93.54 percent accuracy and 0.914 kappa, yet per-class analysis revealed the mengkal class lagging at 88.4 percent F1, and MobileNetV2 delivered the best performance-to-cost ratio at 41 milliseconds latency. Model ranking therefore changes with the chosen metric, so grading studies must report per-class metrics, kappa, and computational cost rather than aggregate accuracy alone. 
STRATEGI TRANSFORMASI DIGITAL PT HAKHARA AKADEMIA INDONESIA: ANALISIS KESENJANGAN KONDISI KINI DAN KONDISI SASARAN Muhammad Firjatullah Nur Akbar; Hayatul Khairul Rahmat
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol. 5 No. 1 (2026)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/00dy2h62

Abstract

Most digital maturity models are built for large manufacturers and stop at assigning a score without producing actionable strategic output, which is precisely what resource-constrained service firms need. This study formulates a digital transformation strategy for PT Hakhara Akademia Indonesia through gap analysis between current and target states. A descriptive qualitative single case study assessed five dimensions across nineteen indicators on a five-level maturity scale, drawing on in-depth interviews with ten informants, document review, and three weeks of direct observation, triangulated to set each indicator value. Target state was agreed in a workshop and dimension weights derived from pairwise comparison with a consistency ratio of 0.051. Weighted maturity stood at 2.37 against a target of 3.80. Technology and infrastructure scored highest at 2.75 while data and analytics scored lowest at 1.80, so the binding constraint is governance rather than technology. Weighting reordered priorities, placing digital strategy and leadership first, and a three-stage roadmap with interim maturity targets is proposed. 
ANALISIS PENERAPAN CHAIN OF CUSTODY PADA INVESTIGASI FORENSIK DIGITAL: TINJAUAN STANDAR DAN PRAKTIK [ANALYSIS OF CHAIN OF CUSTODY IMPLEMENTATION IN DIGITAL FORENSIC INVESTIGATION: A REVIEW OF STANDARDS AND PRACTICE] Muhammad Firjatullah Nur Akbar
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol. 3 No. 2 (2024)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/3qxs6e92

Abstract

Indonesia regulates electronic evidence across several statutes without an integrated technical guideline comparable to international standards, so handling practice varies between agencies and may trigger disputes over evidentiary validity. This study analyzes chain of custody application in digital forensic investigation through a review of standards and practice. A qualitative document analysis examined NIST SP 800-86, ISO/IEC 27037, 27041, 27042, and 27043, Indonesian statutes on electronic evidence, and scholarly articles from 2015 to 2025, using a three-stage procedure of coverage mapping against a six-question handling framework, gap analysis against four contemporary technology conditions, and synthesis. The two principal standards proved complementary rather than competing, with NIST stronger on incident response integration and custodian documentation and ISO stronger on identification and first responder competence. Neither adequately covers cloud computing or multi-tenancy, and full-disk encryption forces a shift in emphasis from repeatability toward auditability. Seven guideline elements are proposed, four of them high priority and implementable without regulatory change.
DIGITALISASI DAN PRESERVASI DOKUMEN KELEMBAGAAN PT HAKHARA AKADEMIA INDONESIA BERBASIS WEB: PENDEKATAN HUMANIORA DIGITAL [WEB-BASED DIGITIZATION AND PRESERVATION OF INSTITUTIONAL DOCUMENTS AT PT HAKHARA AKADEMIA INDONESIA: A DIGITAL HUMANITIES APPROACH] Muhammad Firjatullah Nur Akbar
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol. 3 No. 2 (2024)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/k0vh3j29

Abstract

Institutional digitization projects in Indonesia typically stop at providing a file repository, without a standard metadata scheme or long-term preservation strategy, so the result is storage rather than an archive. This study designs and builds a web-based document digitization and preservation system for PT Hakhara Akademia Indonesia using a digital humanities approach. A descriptive qualitative design combined archival appraisal of the full holdings, in-depth interviews with six informants to capture undocumented context, system design mapping the OAIS reference model onto four functional components, and evaluation through timed retrieval across twelve scenarios plus a focus group with eight users. Of 1,013 files appraised, 16.88 percent were damaged, and 47 meeting minutes lacked agenda or attendance records making them uninterpretable without testimony. Dublin Core was extended with three local elements covering creation context, related documents, and narrative notes. Retrieval time fell 90.69 percent on average, yet users valued the narrative notes most, showing that findability and intelligibility require different treatment.
BUDAYA BERJILBAB SEBAGAI SEBUAH FENOMENA AGAMA DI RUANG PUBLIK [CULTURE OF HIJAB AS A RELIGIOUS PHENOMENON IN PUBLIC SPACE] E Estuningrum; Romi Ulinnuha
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol. 2 No. 2 (2023)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/alihtiram.v2i2.326

Abstract

Tulisan ini menganalisa dan mendeskripsikan budaya jilbab yang dibawa di ruang publik. Adapun problematikanya adalah budaya keagamaan di Indonesia berdasarkan beberapa fenomena yang terjadi memperlihatkan pemahaman dan praktik yang cenderung melihat agama secara eksoteris. Beberapa peneliti berpandangan hal ini sebagai dampak dari titik balik sosio-keberagamaan kepada menguatnya konservatisme dan fundamentaisme agama. Gerakan dan pemikiran konservatif menekankan pada praktik dan pemahaman agama yang eksoteris. Dominasi keberagamaan yang eksoteris ini berdampak pada praktik toleransi beragama di Indonesia. Jilbab sangat kontekstual, anda bisa mengenakan jilbab atau pakaian tertutup yang cocok untuk wanita. Namun, jika tujuan jilbab adalah untuk menunjukkan rasa hormat, maka perlindungan yang sesungguhnya adalah martabat dan kesopanan seorang perempuan dan bukan sehelai kain. Dan juga tidak ada hubungan antara kehormatan perempuan dan jilbab. Itu hanya tradisi, maka dari itu, penulis ingin membahas agama di ruang publik dan mengartikulasikan salah satunya dalam konteks. Tujuan pembahasan ini tentunya untuk lebih memahami kontroversi di kalangan feminis perempuan terkait penggunaan jilbab di ruang publik. Adapun hasil penelitian ini adalah nilai-nilai moral toleransi ke dalam layanan bimbingan dan konseling yaitu tentang nilai moral toleransi dalam dunia sosial serta jenis layanan bimbingan dan konseling yang digunakan dalam mengimplementasi nilai-nilai toleransi dalam bimbingan sosial adalah bimbingan dan konseling individu dan bimbingan konseling kelompok.

Page 3 of 11 | Total Record : 108

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